Initial commit

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----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=
+-----END CERTIFICATE-----

playground.py

@@ -2,9 +2,22 @@ import chromadb
 client = chromadb.PersistentClient(path="./chroma_db")  # Change path if needed
 
 # Get a list of existing collection names
-existing_collections = [col.name for col in client.list_collections()]
+existing_collections = [col for col in client.list_collections()]
 collection_name = "clip_image_embeddings"
 if collection_name in existing_collections:
     collection = client.get_collection(name=collection_name)
     print(f"Using existing collection: {collection_name}")
-print(existing_collections)
+print(existing_collections)
+
+# Show up to 3 items
+results = collection.get(limit=3)
+
+for i in range(len(results["ids"])):
+    print(f"\nItem {i + 1}:")
+    print(f"ID: {results['ids'][i]}")
+    print(f"Document: {results['documents'][i]}")
+    print(f"Metadata: {results['metadatas'][i]}")
+
+print("Number of items:", len(collection.get()["ids"]))
+
+collection_data = collection.get()

src/generate_queries_alternative.py

@@ -9,7 +9,7 @@ import numpy as np
 import os
 from src.sparql_query_wikibase import wikibase_properties_id, classes_wikibase
 #os.environ["TOKENIZERS_PARALLELISM"] = "false"
-
+import pandas as pd
 import spacy
 
 def get_nlp():
@@ -23,6 +23,26 @@ nlp = get_nlp()
 
 
 
+# questions_queries_all = [{ "question": education_most_popular_question, "query": education_most_popular_query},
+#                           { "question": how_many_designers_per_fashion_house_question, "query": how_many_designers_per_fashion_house_query},
+#                            {"question": how_many_directors_per_fashion_house_question, "query": how_many_directors_per_fashion_house_query}, 
+#                            {"question": designers_multiple_houses_question, "query":designers_multiple_houses_query }, 
+#                            {"question": award_question, "query": award_question},
+#                            {"question": fashion_houses_with_collections_question, "query": fashion_houses_with_collections_query},
+#                            {"question": popular_year_inception_question, "query": popular_year_inception_query},
+#                            {"question": longest_serving_director_question, "query": longest_serving_director_query},
+#                            {"question": houses_most_collections_question, "query": houses_most_collections_query},
+#                            {"question": collections_sustainability_theme_question, "query": collections_sustainability_theme_query},
+#                            {"question": collections_jeans_question, "query": collections_jeans_query},
+#                            {"question": creative_directors_school_question, "query": creative_directors_school_query}, 
+#                            {"question": fashion_houses_thematic_collection_question, "query": fashion_houses_thematic_collection_query},
+#                             {"question": fashion_house_directors_question, "query": fashion_house_directors_query},
+#                           { "question": designer_fashion_house_directors_question, "query": designer_fashion_house_directors_query},
+#                           { "question": country_designer_question, "query": country_designer_query},
+#                           { "question": designer_order_fashion_collection_question, "query": designer_order_fashion_collection_query},
+#                           { "question": designer_fashion_director_question2, "query": designer_fashion_director_query2},
+#                           { "question": year_designers_birth_question, "query": year_designers_birth_query}
+#                            ]
 questions_queries_all = [{ "question": education_most_popular_question, "query": education_most_popular_query},
                           { "question": how_many_designers_per_fashion_house_question, "query": how_many_designers_per_fashion_house_query},
                            {"question": how_many_directors_per_fashion_house_question, "query": how_many_directors_per_fashion_house_query}, 
@@ -36,13 +56,15 @@ questions_queries_all = [{ "question": education_most_popular_question, "query":
                            {"question": collections_jeans_question, "query": collections_jeans_query},
                            {"question": creative_directors_school_question, "query": creative_directors_school_query}, 
                            {"question": fashion_houses_thematic_collection_question, "query": fashion_houses_thematic_collection_query},
-                            {"question": fashion_house_directors_question, "query": fashion_house_directors_query},
-                          { "question": designer_fashion_house_directors_question, "query": designer_fashion_house_directors_query},
-                          { "question": country_designer_question, "query": country_designer_query},
-                          { "question": designer_order_fashion_collection_question, "query": designer_order_fashion_collection_query},
-                          { "question": designer_fashion_director_question2, "query": designer_fashion_director_query2},
-                          { "question": year_designers_birth_question, "query": year_designers_birth_query}
-                           ]
+                           {"question": fashion_house_directors_question.substitute({ "x": f"{"Chanel"}"}), "query": fashion_house_directors_query.substitute({ "x": f"'{"Chanel"}'"})},
+                          { "question": designer_fashion_house_directors_question.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_fashion_house_directors_query.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          {"question": country_designer_question.substitute({ "x": f"{"Italy"}"}), "query": country_designer_query.substitute({ "x": f"'{"Italy"}'"})},
+                          {  "question": designer_order_fashion_collection_question.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_order_fashion_collection_query.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          {"question": designer_fashion_director_question2.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_fashion_director_query2.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          { "question": year_designers_birth_question.substitute({ "x": 1970}), "query": year_designers_birth_query.substitute({ "x": 1970})},
+                          { "question": fashion_collection_images_question.substitute({ "x": f"{"Chanel"}"}), "query": fashion_collection_images_query.substitute({ "x": f"'{"Chanel"}'"})}]
+
+                           
 
 if os.path.exists("web_app/query_log.json"):
     other_pairs = pd.read_json("web_app/query_log.json")

src/questions_queries.py

@@ -1,3 +1,799 @@
+# import sys
+# import os
+# sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+# from src.sparql_query_wikibase import *
+
+
+
+# fashion_collection_images_question = "Images of collections produced by Chanel"
+# fashion_collection_images_query = """
+# PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?statement ?fashion_collectionLabel ?image_url ?reference_URL 
+#   ?fashion_seasonLabel (YEAR(?fashion_year) AS ?year) ?categoryLabel WHERE {
+#     { ?fashion_house  rdfs:label "Chanel"@en.}  # Match label
+#   UNION
+#   { ?fashion_house  skos:altLabel "Chanel"@en. }  # Match alias   
+                                           
+  
+#   ?fashion_house p:P31 ?statement.
+#   ?statement ps:P31 ?fashion_collection.
+#   OPTIONAL { ?fashion_collection wbt:P32 ?fashion_season. }
+#   OPTIONAL {?fashion_collection wbt:P28 ?fashion_year.}
+#   OPTIONAL {?fashion_collection wbt:P38 ?category.}
+  
+#   OPTIONAL {
+#     ?statement pq:P35 ?image_url.
+#   }
+
+                                                
+#   OPTIONAL {
+#     ?statement prov:wasDerivedFrom ?reference.
+#     ?reference pr:P24 ?reference_URL. 
+#   }
+
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } }
+#                                            """
+
+# year_designers_birth_question = "Which designers were born in 1963?"
+# year_designers_birth_query = """
+# PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+# PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
+
+# SELECT ?designerLabel ?birthdate  WHERE {
+#   ?designer wbt:P3 ?birthdate .
+#   FILTER (YEAR(?birthdate) = 1963)
+
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# } """
+
+# fashion_house_directors_question = "Which designers have been creative directors of Chanel ?"
+# fashion_house_directors_query = """
+# PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT 
+# ?creative_directorLabel (COALESCE(YEAR(?start_time), YEAR(?point_time), YEAR(?inception)) AS ?start_year)
+#   (YEAR(?end_time) AS ?end_year) ?title ?statement ?reference_URL_source
+# WHERE {
+#   # Fashion house identified by brand name
+#   ?fashion_house wbt:P2 wb:Q1.                                       
+#     { ?fashion_house rdfs:label "Chanel"@en.}  # Match label
+#   UNION
+#   { ?fashion_house skos:altLabel "Chanel"@en. }  # Match alias   
+  
+#   # Link through designer employed (P29) property for the fashion house  - the property for designer employment is P10
+#   {
+#     ?fashion_house p:P29 ?statement.
+#     ?statement ps:P29 ?creative_director.
+
+#     # Optional qualifiers for P29 regarding the time frame
+#     OPTIONAL { ?statement pq:P15 ?start_time. }
+#     OPTIONAL { ?statement pq:P28 ?point_time. } 
+#     OPTIONAL { ?statement pq:P16 ?end_time. }
+#     OPTIONAL { ?statement pq:P25 ?title. }
+#     OPTIONAL { ?fashion_house wbt:P11 ?inception. } 
+
+    
+#     # Retrieve references for P29
+#     OPTIONAL {
+#       ?statement prov:wasDerivedFrom ?reference.
+#       ?reference pr:P24 ?reference_URL.
+#       BIND(
+#         IF(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt"), ?reference_URL, "") AS ?reference_URL_model
+#       )
+#       BIND(
+#         IF(!(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt")), ?reference_URL, "") AS ?reference_URL_source
+#       )
+#     }
+#   }
+#   UNION
+#   # Link through founded_by (P14) property for the fashion house
+#   {
+#     ?fashion_house p:P14 ?statement.
+#     ?statement ps:P14 ?creative_director.
+
+#     # Optional qualifiers for P14 (start_year as inception)
+#     OPTIONAL { ?statement pq:P15 ?start_time. }
+#     OPTIONAL { ?statement pq:P28 ?point_time. } 
+#     OPTIONAL { ?statement pq:P16 ?end_time. }
+#     OPTIONAL { ?statement pq:P25 ?title. }
+ 
+    
+#     # Retrieve references for P14
+#     OPTIONAL {
+#       ?statement prov:wasDerivedFrom ?reference.
+#       ?reference pr:P24 ?reference_URL.
+#       BIND(
+#         IF(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt"), ?reference_URL, "") AS ?reference_URL_model
+#       )
+#       BIND(
+#         IF(!(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt")), ?reference_URL, "") AS ?reference_URL_source
+#       )
+#     }
+#   }
+
+#   # Filter for relevant titles (creative director, founder, etc.) to retrieve relevant employment as creative director
+#   FILTER (
+#     REGEX(?title, "director", "i") || 
+#     REGEX(?title, "head designer", "i") ||
+#     REGEX(?title, "chief", "i") ||
+#     REGEX(?title, "founder", "i")                                   
+#   )
+#   FILTER(?reference_URL_source != "")
+#   # Retrieve labels
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }   ORDER BY ?start_year """
+
+
+
+# designer_fashion_house_directors_question = "In which fashion house did Alessandro Michele work as a creative director?"
+# designer_fashion_house_directors_query = """  
+# PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?fashion_houseLabel 
+#        (COALESCE(YEAR(?start_time), YEAR(?point_time), YEAR(?inception)) AS ?start_year) 
+#        (YEAR(?end_time) AS ?end_year) 
+#        ?title ?reference_URL_source ?statement 
+# WHERE {
+#    # Designer linked to fashion house through roles or founded_by
+#     ?fashion_designer wbt:P2 wb:Q5.                                              
+#      { ?fashion_designer  rdfs:label "Alessandro Michele"@en.}  # Match label
+#   UNION
+#   { ?fashion_designer  skos:altLabel "Alessandro Michele"@en. }  # Match alias   
+   
+#    # Link through employer (P10)
+#    ?fashion_designer p:P10 ?statement.
+#    ?statement ps:P10 ?fashion_house.
+  
+#    # Optional start and end time qualifiers for roles
+#    OPTIONAL { ?statement pq:P15 ?start_time. }
+#    OPTIONAL { ?statement pq:P28 ?point_time. } 
+#    OPTIONAL { ?statement pq:P16 ?end_time. }
+#    OPTIONAL { ?statement pq:P25 ?title. }
+
+#    # Inception as fallback for start year
+#    OPTIONAL { ?fashion_house wbt:P11 ?inception. }
+
+#    # Filter for relevant roles (director, founder, etc.)
+#    FILTER (
+#        REGEX(?title, "director", "i") || 
+#        REGEX(?title, "head designer", "i") ||
+#        REGEX(?title, "chief","i") ||
+#        REGEX(?title, "founder","i")                                   
+#    )
+  
+#    # Retrieve references for the statement
+#     OPTIONAL {
+#       ?statement prov:wasDerivedFrom ?reference.
+#       ?reference pr:P24 ?reference_URL.
+#       BIND(
+#         IF(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt"), ?reference_URL, "") AS ?reference_URL_model
+#       )
+#       BIND(
+#         IF(!(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt")), ?reference_URL, "") AS ?reference_URL_source
+#       )
+#     }
+#   FILTER(?reference_URL_source != "")
+
+#    SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+# }
+# """
+
+
+# designer_fashion_director_question2 = "In which fashion house did Alessandro Michele work as a creative director?"
+# designer_fashion_director_query2 = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT 
+# ?fashion_houseLabel ?creative_directorLabel (COALESCE(YEAR(?start_time), YEAR(?point_time), YEAR(?inception)) AS ?start_year)  (YEAR(?end_time) AS ?end_year) ?title ?statement ?reference_URL_source
+# WHERE {
+#   # Fashion designer identified by name
+#   ?creative_director wbt:P2 wb:Q5.                                       
+#     { ?creative_director  rdfs:label "Alessandro Michele"@en.}  # Match label
+#   UNION
+#   { ?creative_director  skos:altLabel "Alessandro Michele"@en. }  # Match alias   
+
+#   # Link through designer employed (P29) property for the fashion house  - the property for designer employment is P30
+#   {
+#     ?fashion_house p:P29 ?statement.
+#     ?statement ps:P29 ?creative_director.
+
+#     # Optional qualifiers for P29 regarding the time frame
+#     OPTIONAL { ?statement pq:P15 ?start_time. }
+#     OPTIONAL { ?statement pq:P28 ?point_time. } 
+#     OPTIONAL { ?statement pq:P16 ?end_time. }
+#     OPTIONAL { ?statement pq:P25 ?title. }
+#     OPTIONAL { ?fashion_house wbt:P11 ?inception. } 
+
+    
+#     # Retrieve references for P29
+#     OPTIONAL {
+#       ?statement prov:wasDerivedFrom ?reference.
+#       ?reference pr:P24 ?reference_URL.
+#       BIND(
+#         IF(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt"), ?reference_URL, "") AS ?reference_URL_model
+#       )
+#       BIND(
+#         IF(!(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt")), ?reference_URL, "") AS ?reference_URL_source
+#       )
+#     }
+#   }
+#   FILTER (
+#     REGEX(?title, "director", "i") || 
+#     REGEX(?title, "head designer", "i") ||
+#     REGEX(?title, "chief", "i") ||
+#     REGEX(?title, "founder", "i")                                   
+#   )
+#   FILTER(?reference_URL_source != "")
+
+#   # Retrieve labels
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }   ORDER BY ?start_year """
+
+# country_designer_question = "Which designers are from Italy ?"
+# country_designer_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?fashion_designerLabel   (SAMPLE(?statement) AS ?statement)  
+#   (SAMPLE(?reference_URL) AS ?reference_URL) WHERE {
+#   # Restrict to designers who are instances of fashion designer (Q5)
+
+#   ?fashion_designer wbt:P2 wb:Q5.
+
+#   # Access the statement for the country relationship
+#   ?fashion_designer p:P6 ?statement.
+#   ?statement ps:P6 ?country.
+#     { ?country  rdfs:label "Italy"@en.}  # Match label
+#   UNION
+#   { ?country skos:altLabel "Italy"@en. }  # Match alias   
+
+#   # Retrieve references from the statement
+#   OPTIONAL {
+#     ?statement prov:wasDerivedFrom ?reference.
+#     ?reference pr:P24 ?reference_URL.
+#   }
+
+#   # Retrieve labels for the fashion designer
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+# } 
+# GROUP BY ?fashion_designerLabel 
+# ORDER BY ?fashion_designerLabel """
+
+# country_designer_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?fashion_designerLabel (SAMPLE(?reference_URL) AS ?reference_URL) {
+#   # Restrict to designers who are instances of fashion designer (Q5)
+
+#   ?fashion_designer wbt:P2 wb:Q5.
+#   ?fashion_designer wbt:P6 ?country.
+#   ?fashion_designer p:P6 ?statement.
+#     { ?country  rdfs:label "Italy"@en.}  # Match label
+#   UNION
+#   { ?country  skos:altLabel "Italy"@en. }  # Match alias   
+ 
+
+#   # Retrieve references from the statement
+#   OPTIONAL {
+#     ?statement prov:wasDerivedFrom ?reference.
+#     ?reference pr:P24 ?reference_URL.
+#   }
+
+#   # Retrieve labels for the fashion designer
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+# } 
+# GROUP BY ?fashion_designerLabel 
+# ORDER BY ?fashion_designerLabel  """
+
+
+# designer_order_fashion_collection_question = "Which fashion collections did Alessandro Michele work on?"
+# designer_order_fashion_collection_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?fashion_houseLabel 
+#        (COALESCE(YEAR(?start_time), YEAR(?point_time), YEAR(?inception)) AS ?start_year) 
+#        (YEAR(?end_time) AS ?end_year) 
+#        ?title ?reference_URL_source ?statement ?fashion_collectionLabel ?image_url 
+#       (YEAR(?fashion_year) as ?year ) ?fashion_seasonLabel ?categoryLabel WHERE {
+#    # Designer linked to fashion house through roles or founded_by
+#    ?fashion_designer wbt:P2 wb:Q5. 
+#   { ?fashion_designer  rdfs:label "Alessandro Michele"@en.}  # Match label
+#   UNION
+#   { ?fashion_designer  skos:altLabel "Alessandro Michele"@en. }  # Match alias                                               
+                                            
+   
+#    # Link through "creative director" or other roles
+#    ?fashion_designer p:P10 ?statement_designer.
+#    ?statement_designer ps:P10 ?fashion_house.
+#    OPTIONAL { ?statement_designer pq:P15 ?start_time. }
+#    OPTIONAL { ?statement_designer pq:P28 ?point_time. } 
+#    OPTIONAL { ?statement_designer pq:P16 ?end_time. }
+#    OPTIONAL { ?statement_designer pq:P25 ?title. }   
+#     OPTIONAL { ?fashion_house wbt:P11 ?inception. }    
+#     FILTER (
+#        REGEX(?title, "director", "i") || 
+#        REGEX(?title, "head designer", "i") ||
+#        REGEX(?title, "chief","i") ||
+#        REGEX(?title, "founder","i")                                   
+#    )       
+  
+#     ?fashion_house p:P31 ?statement.
+#   ?statement ps:P31 ?fashion_collection.
+#   OPTIONAL {?fashion_collection wbt:P28 ?fashion_year.}
+#     OPTIONAL { ?fashion_collection wbt:P32 ?fashion_season. }
+#   OPTIONAL {?fashion_collection wbt:P38 ?category.}
+  
+#   OPTIONAL {?statement pq:P35 ?image_url.}
+#   OPTIONAL {?statement pq:P37 ?fashion_date.}
+  
+ 
+#     # Use the adjusted fashion year in the FILTER condition
+# FILTER(
+#     (YEAR(?start_time) <= YEAR(?fashion_year) && (!BOUND(?end_time) || YEAR(?end_time) >= YEAR(?fashion_year))) ||
+#     (YEAR(?point_time) <= YEAR(?fashion_year)) ||
+#     (REGEX(?title, "founder", "i") && YEAR(?inception) <= YEAR(?fashion_year))
+# )
+
+#    # Retrieve references for the statement
+#    OPTIONAL {
+#      ?statement prov:wasDerivedFrom ?reference.
+#      ?reference pr:P24 ?reference_URL_source.
+#    }
+
+#    SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+# } ORDER BY ?year """
+
+
+# education_most_popular_question = "What are the most popular educational institutions for fashion designers?"
+# education_most_popular_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?schoolLabel (COUNT(?fashion_designer) AS ?designer_count) WHERE {
+#   # Retrieve all fashion designers and their schools
+#   ?fashion_designer wbt:P9 ?school.
+  
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }
+# GROUP BY ?schoolLabel
+# ORDER BY DESC(?designer_count) """
+
+# brands_founded_question = Template("Which fashion houses were founded in $x")
+# brands_founded_query = Template(""" PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+
+# SELECT ?fashion_houseLabel ?inception 
+# WHERE {
+#     ?fashion_house wbt:P2 wb:Q1.
+#     ?fashion_house wbt:P11 ?inception.
+
+    
+#     FILTER(YEAR(?inception) = $x)
+    
+#     SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }""")
+
+# how_many_directors_per_fashion_house_question = "How many designers have worked for each fashion house as creative directors?"
+# how_many_directors_per_fashion_house_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?fashion_houseLabel (COUNT(DISTINCT ?fashion_designer) AS ?creative_director_count) WHERE {
+#   # Match fashion houses linked to designers via employer property
+#   ?fashion_designer p:P10 ?statement.
+#   ?statement ps:P10 ?fashion_house.
+  
+#   # Filter for roles related to creative direction
+#   OPTIONAL { ?statement pq:P25 ?title. }
+#   FILTER (
+#     REGEX(?title, "creative director", "i") || 
+#     REGEX(?title, "head designer", "i") ||
+#     REGEX(?title, "chief", "i") ||
+#     REGEX(?title, "founder", "i")
+#   )
+  
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }
+# GROUP BY ?fashion_houseLabel
+# ORDER BY DESC(?creative_director_count)
+# """
+
+# how_many_designers_per_fashion_house_question = "How many designers have worked for each fashion house?"
+# how_many_designers_per_fashion_house_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?fashion_houseLabel (COUNT(?designer) AS ?designer_count) WHERE {
+#   ?fashion_house wbt:P29 ?designer .
+
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }
+# GROUP BY ?fashion_houseLabel
+# ORDER BY DESC(?designer_count) """
+
+
+# designers_multiple_houses_question = "Which designers have worked for more than one fashion house?"
+# designers_multiple_houses_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?designerLabel WHERE {
+#   ?designer wbt:P10 ?house .
+#   ?designer wbt:P10 ?anotherHouse .
+# SERVICE wikibase:label { bd:serviceParam wikibase:language 'en'. } 
+#  }
+# GROUP BY ?designerLabel
+# HAVING (COUNT(?house) > 1)"""
+
+# award_question = "Which designers won which awards?"
+# award_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?designerLabel ?awardLabel WHERE {
+#   ?designer wbt:P18 ?award .
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }"""
+
+# fashion_houses_with_collections_question ="Which distinct fashion houses have at least a fashion collection?"
+# fashion_houses_with_collections_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT DISTINCT ?houseLabel WHERE {
+#   ?house wbt:P31 ?collection .
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# } """
+
+# popular_year_inception_question = "In which years were the most fashion houses founded?"
+# popular_year_inception_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+
+# SELECT ?year_inception (COUNT(DISTINCT ?fashion_house) AS ?count)
+# WHERE {
+#   ?fashion_house wbt:P11 ?year.
+#   BIND(YEAR(?year) AS ?year_inception)
+# }
+# GROUP BY ?year_inception
+# ORDER BY DESC(?count) """
+
+
+# longest_serving_director_question = "Which fashion houses have had the longest-serving creative director?"
+# longest_serving_director_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>
+# PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
+# PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
+
+# SELECT ?fashion_houseLabel ?duration ?designerLabel
+# WHERE {
+#   ?fashion_house p:P29 ?statement.
+#   ?statement ps:P29 ?designer.
+#   OPTIONAL { ?statement pq:P15 ?startTime. }
+#   OPTIONAL { ?statement pq:P16 ?endTime. }
+
+#   # Ensure we only calculate when both dates exist
+#   FILTER(BOUND(?startTime) && BOUND(?endTime))
+
+#   # Compute duration safely
+#   BIND(YEAR(?endTime) - YEAR(?startTime) AS ?duration)
+
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+# }
+# ORDER BY DESC(?duration)"""
+
+# houses_most_collections_question = "Which fashion houses have the most collections recorded in the database?"
+# houses_most_collections_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?fashionHouseLabel (COUNT(?collection) AS ?collection_count) WHERE {
+#   ?fashionHouse wbt:P31 ?collection .
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }
+# GROUP BY ?fashionHouseLabel
+# ORDER BY DESC(?collection_count)"""
+
+
+# collections_sustainability_theme_question = "Which collections include sustainability as a key theme?"
+# collections_sustainability_theme_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?collectionLabel ?fashion_houseLabel ?reference_URL WHERE {
+#   ?fashion_house p:P31 ?statement.
+#   ?statement ps:P31 ?collection.
+#   ?statement pq:P34 ?description .
+#   FILTER (regex(?description, "sustainability", "i"))
+#      # Retrieve references for the statement
+#    OPTIONAL {
+#      ?statement prov:wasDerivedFrom ?reference.
+#      ?reference pr:P24 ?reference_URL.
+#    }
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }  """ 
+
+
+# collections_jeans_question = "Which collections showcase products made with jeans?"
+# collections_jeans_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?collectionLabel ?fashion_houseLabel ?reference_URL WHERE {
+#   ?fashion_house p:P31 ?statement.
+#   ?statement ps:P31 ?collection.
+#   ?statement pq:P34 ?description .
+#   FILTER (regex(?description, "jeans", "i"))
+#      # Retrieve references for the statement
+#    OPTIONAL {
+#      ?statement prov:wasDerivedFrom ?reference.
+#      ?reference pr:P24 ?reference_URL.
+#    }
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# }  """ 
+
+
+# creative_directors_school_question = "To which school went most designers who later became creative directors of fashion houses?"
+# creative_directors_school_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?schoolLabel (COUNT(DISTINCT ?designer) AS ?designer_count) WHERE {
+#   ?designer p:P10 ?fashion_house .
+
+#      OPTIONAL { ?fashion_house pq:P25 ?title. }
+#   FILTER (
+#     REGEX(?title, "creative director", "i") || 
+#     REGEX(?title, "head designer", "i") ||
+#     REGEX(?title, "chief", "i") ||
+#     REGEX(?title, "founder", "i")
+#   )
+  
+#   OPTIONAL { ?designer wbt:P9 ?school . }
+# SERVICE wikibase:label { bd:serviceParam wikibase:language 'en'. } 
+#  }
+# GROUP BY ?schoolLabel
+# ORDER BY DESC(?designer_count)"""
+
+# fashion_houses_thematic_collection_question = "Which fashion houses had collections with a sustainability theme, and how many of them?"
+# fashion_houses_thematic_collection_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+# PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+# PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+# PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+# PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+# PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+# PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+# SELECT ?fashion_houseLabel (COUNT(DISTINCT ?collection) AS ?collection_count) WHERE {
+#   ?fashion_house p:P31 ?statement.
+#   ?statement ps:P31 ?collection.
+#   ?statement pq:P34 ?description .
+#   FILTER (regex(?description, "sustainability", "i"))
+#      # Retrieve references for the statement
+#    OPTIONAL {
+#      ?statement prov:wasDerivedFrom ?reference.
+#      ?reference pr:P24 ?reference_URL.
+#    }
+#   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+# } GROUP BY ?fashion_houseLabel
+# ORDER BY DESC(?collection_count) """
+
+
+# questions_queries_dict = [ { "question": education_most_popular_question, "query": education_most_popular_query},
+#                           { "question": how_many_designers_per_fashion_house_question, "query": how_many_designers_per_fashion_house_query},
+#                            {"question": how_many_directors_per_fashion_house_question, "query": how_many_directors_per_fashion_house_query}, 
+#                            {"question": designers_multiple_houses_question, "query":designers_multiple_houses_query }, 
+#                            {"question": award_question, "query": award_question},
+#                            {"question": fashion_houses_with_collections_question, "query": fashion_houses_with_collections_query},
+#                            {"question": popular_year_inception_question, "query": popular_year_inception_query},
+#                            {"question": longest_serving_director_question, "query": longest_serving_director_query},
+#                            {"question": houses_most_collections_question, "query": houses_most_collections_query},
+#                            {"question": collections_sustainability_theme_question, "query": collections_sustainability_theme_query},
+#                            ]
+
+
+# questions_queries_dict_entity = [{"question": fashion_house_directors_question, "query": fashion_house_directors_query},
+#                           { "question": designer_fashion_house_directors_question, "query": designer_fashion_house_directors_query},
+#                           { "question": country_designer_question, "query": country_designer_query},
+#                           { "question": designer_order_fashion_collection_question, "query": designer_order_fashion_collection_query},
+#                           { "question": designer_fashion_director_question2, "query": designer_fashion_director_query2},
+#                           { "question": year_designers_birth_question, "query": year_designers_birth_query}]
+
+
+# # Designers
+# designers_born_in_year_question = "Which designers were born in year $x?"
+# creative_directors_of_house_question = "Which designers have been creative directors of $x?"
+# designers_multiple_houses_question = "Which designers have worked for more than one fashion house?"
+# educated_at_school_question = "Which designers were educated at $x fashion school?"
+# won_award_question = "Which designers have won the $x award?"
+# launched_own_label_question = "Which designers launched their own fashion label?"
+# worked_at_x_between_years_question = "Which designers worked at $x between year $y and $z?"
+# designers_multiple_collaborations_question = "Which designers have collaborated with multiple fashion houses?"
+# designers_lived_in_city_question = "Which designers have lived in $x city?"
+# designers_active_decade_question = "Which designers were active during the $x decade?"
+
+# # Fashion Houses
+# designers_worked_for_house_question = "Which designers have worked for fashion house $x?"
+# creative_directors_per_house_question = "How many designers have worked for each fashion house as creative directors?"
+# houses_founded_in_year_question = "Which fashion houses were founded in year $x?"
+# houses_most_director_changes_question = "Which fashion houses have undergone the most creative director changes?"
+# longest_serving_director_question = "Which fashion houses have had the longest-serving creative director?"
+# houses_collaborations_question = "Which fashion houses have collaborated with other fashion houses or brands?"
+# houses_haute_couture_question = "Which fashion houses have produced haute couture collections?"
+# houses_active_decade_question = "Which fashion houses were active during the $x decade?"
+# houses_most_collections_question = "Which fashion houses have the most collections recorded in the database?"
+
+# # Fashion Collections
+# designer_worked_on_collections_question = "Which fashion collections did $x work on?"
+# collections_inspired_by_theme_question = "Which fashion house produced a collection inspired by $x theme?"
+# collections_high_critical_acclaim_question = "Which collections received the highest critical acclaim?"
+# collections_historical_references_question = "Which collections feature references to historical fashion styles?"
+# collections_sustainability_theme_question = "Which collections include sustainability as a key theme?"
+# collections_per_house_per_year_question = "How many collections did each fashion house produce in year $x?"
+# collections_avant_garde_question = "Which collections have been described as avant-garde?"
+# collections_stylistic_similarity_question = "Which collections share stylistic similarities with $x?"
+# collections_evolution_over_time_question = "How has the style of $x fashion house evolved over the years?"
+# collections_shown_at_fashion_week_question = "Which collections were showcased at $x fashion week?"
+
+# # Designers & Fashion Houses
+# studied_then_director_question = "Which designers who studied at $x fashion school later became creative directors at $y fashion house?"
+# worked_at_both_houses_question = "Which designers have worked at both $x and $y fashion houses?"
+# launched_label_after_working_question = "Which designers who launched their own fashion labels had previously worked at $x fashion house?"
+# won_award_then_worked_question = "Which designers who won the $x award also worked for $y fashion house?"
+# lived_in_city_and_director_question = "Which designers who lived in $x city have worked as creative directors for $y fashion house?"
+# worked_for_three_houses_question = "Which designers have worked for at least three different fashion houses during their career?"
+# designed_for_two_brands_same_year_question = "Which designers who were creative directors at $x fashion house also designed collections for another brand in the same year?"
+# creative_director_and_label_founder_question = "Which designers were both fashion house creative directors and independent label founders at the same time?"
+# collaborated_with_two_houses_question = "Which designers have collaborated with both $x and $y fashion houses?"
+# worked_at_x_before_y_question = "Which designers worked at $x fashion house before moving to $y?"
+
+# # Designers & Collections
+# designed_for_multiple_houses_same_season_question = "Which designers have designed collections for multiple fashion houses in the same season?"
+# couture_and_ready_to_wear_question = "Which designers who specialized in haute couture have also designed ready-to-wear collections?"
+# similar_theme_collections_question = "Which designers who worked on $x collection had previously worked on a similar-themed collection for another brand?"
+# award_winner_inspired_by_history_question = "Which designers who have won an award have produced a collection inspired by $x historical period?"
+# alma_mater_referenced_in_collection_question = "Which designers who studied at $x school designed a collection that referenced their alma mater?"
+
+# # Fashion Houses & Collections
+# same_historical_period_collections_question = "Which fashion houses have produced collections inspired by the same historical period?"
+# collaborations_with_artists_question = "Which fashion houses have produced collections featuring collaborations with artists from $x field (e.g., photography, sculpture, film)?"
+# change_director_different_collection_question = "Which fashion houses have changed creative directors and immediately released a significantly different collection?"
+# avant_garde_and_minimalist_question = "Which fashion houses have produced both avant-garde and minimalist collections?"
+# inspired_by_other_brands_question = "Which fashion houses have produced a collection inspired by a previous designer’s work from another brand?"
+
+# # Multi-Category (Designers, Houses, Collections)
+# designer_worked_house_then_influenced_question = "Which designers who worked for $x fashion house also designed a collection influenced by $y movement?"
+# designer_lived_in_city_referenced_collection_question = "Which designers who lived in $x city during year $y produced a collection with references to that place?"
+# multiple_designers_same_collection_question = "Which fashion houses have had at least three designers contribute to the same collection?"
+# worked_elsewhere_during_collection_question = "Which collections were created by a designer who was also working at another fashion house at the time?"
+# education_influenced_collection_question = "Which fashion collections were influenced by a designer’s education at $x fashion school?"
+
+# # Designers & Fashion Houses
+# studied_then_director_question = "Which designers who studied at $x fashion school later became creative directors at $y fashion house?"
+# worked_at_both_houses_question = "Which designers have worked at both $x and $y fashion houses?"
+# launched_label_after_working_question = "Which designers who launched their own fashion labels had previously worked at $x fashion house?"
+# won_award_then_worked_question = "Which designers who won the $x award also worked for $y fashion house?"
+# lived_in_city_and_director_question = "Which designers who lived in $x city have worked as creative directors for $y fashion house?"
+# worked_for_three_houses_question = "Which designers have worked for at least three different fashion houses during their career?"
+# designed_for_two_brands_same_year_question = "Which designers who were creative directors at $x fashion house also designed collections for another brand in the same year?"
+# creative_director_and_label_founder_question = "Which designers were both fashion house creative directors and independent label founders at the same time?"
+# collaborated_with_two_houses_question = "Which designers have collaborated with both $x and $y fashion houses?"
+# worked_at_x_before_y_question = "Which designers worked at $x fashion house before moving to $y?"
+
+# # Designers & Collections
+# designed_for_multiple_houses_same_season_question = "Which designers have designed collections for multiple fashion houses in the same season?"
+# couture_and_ready_to_wear_question = "Which designers who specialized in haute couture have also designed ready-to-wear collections?"
+# similar_theme_collections_question = "Which designers who worked on $x collection had previously worked on a similar-themed collection for another brand?"
+# award_winner_inspired_by_history_question = "Which designers who have won an award have produced a collection inspired by $x historical period?"
+# alma_mater_referenced_in_collection_question = "Which designers who studied at $x school designed a collection that referenced their alma mater?"
+
+# # Fashion Houses & Collections
+# same_historical_period_collections_question = "Which fashion houses have produced collections inspired by the same historical period?"
+# collaborations_with_artists_question = "Which fashion houses have produced collections featuring collaborations with artists from $x field (e.g., photography, sculpture, film)?"
+# change_director_different_collection_question = "Which fashion houses have changed creative directors and immediately released a significantly different collection?"
+# avant_garde_and_minimalist_question = "Which fashion houses have produced both avant-garde and minimalist collections?"
+# inspired_by_other_brands_question = "Which fashion houses have produced a collection inspired by a previous designer’s work from another brand?"
+
+# # Multi-Category (Designers, Houses, Collections)
+# designer_worked_house_then_influenced_question = "Which designers who worked for $x fashion house also designed a collection influenced by $y movement?"
+# designer_lived_in_city_referenced_collection_question = "Which designers who lived in $x city during year $y produced a collection with references to that place?"
+# multiple_designers_same_collection_question = "Which fashion houses have had at least three designers contribute to the same collection?"
+# worked_elsewhere_during_collection_question = "Which collections were created by a designer who was also working at another fashion house at the time?"
+# education_influenced_collection_question = "Which fashion collections were influenced by a designer’s education at $x fashion school?"
+
+
 import sys
 import os
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
@@ -5,8 +801,8 @@ from src.sparql_query_wikibase import *
 
 
 
-fashion_collection_images_question = "Images of collections produced by Chanel"
-fashion_collection_images_query = """
+fashion_collection_images_question = Template("Images of collections produced by $x")
+fashion_collection_images_query = Template("""
 PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
 PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
 PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
@@ -17,9 +813,9 @@ PREFIX prov: <http://www.w3.org/ns/prov#>
 
 SELECT ?statement ?fashion_collectionLabel ?image_url ?reference_URL 
   ?fashion_seasonLabel (YEAR(?fashion_year) AS ?year) ?categoryLabel WHERE {
-    { ?fashion_house  rdfs:label "Chanel"@en.}  # Match label
+    { ?fashion_house  rdfs:label $x@en.}  # Match label
   UNION
-  { ?fashion_house  skos:altLabel "Chanel"@en. }  # Match alias   
+  { ?fashion_house  skos:altLabel $x@en. }  # Match alias   
                                            
   
   ?fashion_house p:P31 ?statement.
@@ -39,10 +835,10 @@ SELECT ?statement ?fashion_collectionLabel ?image_url ?reference_URL
   }
 
   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } }
-                                           """
+                                           """)
 
-year_designers_birth_question = "Which designers were born in 1963?"
-year_designers_birth_query = """
+year_designers_birth_question = Template("Which designers were born in $x?")
+year_designers_birth_query = Template("""
 PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
 PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
 PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
@@ -53,13 +849,13 @@ PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
 
 SELECT ?designerLabel ?birthdate  WHERE {
   ?designer wbt:P3 ?birthdate .
-  FILTER (YEAR(?birthdate) = 1963)
+  FILTER (YEAR(?birthdate) = $x)
 
   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
-} """
+} """)
 
-fashion_house_directors_question = "Which designers have been creative directors of Chanel ?"
-fashion_house_directors_query = """
+fashion_house_directors_question = Template("Which designers have been creative directors of $x ?")
+fashion_house_directors_query = Template("""
 PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
 PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
 PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
@@ -74,9 +870,9 @@ SELECT
 WHERE {
   # Fashion house identified by brand name
   ?fashion_house wbt:P2 wb:Q1.                                       
-    { ?fashion_house rdfs:label "Chanel"@en.}  # Match label
+    { ?fashion_house rdfs:label $x@en.}  # Match label
   UNION
-  { ?fashion_house skos:altLabel "Chanel"@en. }  # Match alias   
+  { ?fashion_house skos:altLabel $x@en. }  # Match alias   
   
   # Link through designer employed (P29) property for the fashion house  - the property for designer employment is P10
   {
@@ -139,12 +935,12 @@ WHERE {
   FILTER(?reference_URL_source != "")
   # Retrieve labels
   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
-}   ORDER BY ?start_year """
+}   ORDER BY ?start_year """)
 
 
 
-designer_fashion_house_directors_question = "In which fashion house did Alessandro Michele work as a creative director?"
-designer_fashion_house_directors_query = """  
+designer_fashion_house_directors_question = Template("In which fashion house did $x work as a creative director?")
+designer_fashion_house_directors_query = Template("""  
 PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
 PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
 PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
@@ -160,9 +956,9 @@ SELECT ?fashion_houseLabel
 WHERE {
    # Designer linked to fashion house through roles or founded_by
     ?fashion_designer wbt:P2 wb:Q5.                                              
-     { ?fashion_designer  rdfs:label "Alessandro Michele"@en.}  # Match label
+     { ?fashion_designer  rdfs:label $x@en.}  # Match label
   UNION
-  { ?fashion_designer  skos:altLabel "Alessandro Michele"@en. }  # Match alias   
+  { ?fashion_designer  skos:altLabel $x@en. }  # Match alias   
    
    # Link through employer (P10)
    ?fashion_designer p:P10 ?statement.
@@ -200,11 +996,11 @@ WHERE {
 
    SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
 }
-"""
+""")
 
 
-designer_fashion_director_question2 = "In which fashion house did Alessandro Michele work as a creative director?"
-designer_fashion_director_query2 = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+designer_fashion_director_question2 = Template("In which fashion house did $x work as a creative director?")
+designer_fashion_director_query2 = Template("""PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
 PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
 PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
 PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
@@ -217,9 +1013,9 @@ SELECT
 WHERE {
   # Fashion designer identified by name
   ?creative_director wbt:P2 wb:Q5.                                       
-    { ?creative_director  rdfs:label "Alessandro Michele"@en.}  # Match label
+    { ?creative_director  rdfs:label $x@en.}  # Match label
   UNION
-  { ?creative_director  skos:altLabel "Alessandro Michele"@en. }  # Match alias   
+  { ?creative_director  skos:altLabel $x@en. }  # Match alias   
 
   # Link through designer employed (P29) property for the fashion house  - the property for designer employment is P30
   {
@@ -256,10 +1052,10 @@ WHERE {
 
   # Retrieve labels
   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
-}   ORDER BY ?start_year """
+}   ORDER BY ?start_year """)
 
-country_designer_question = "Which designers are from Italy ?"
-country_designer_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+country_designer_question = Template("Which designers are from $x ?")
+country_designer_query = Template("""PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
 PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
 PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
 PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
@@ -276,9 +1072,9 @@ SELECT ?fashion_designerLabel   (SAMPLE(?statement) AS ?statement)
   # Access the statement for the country relationship
   ?fashion_designer p:P6 ?statement.
   ?statement ps:P6 ?country.
-    { ?country  rdfs:label "Italy"@en.}  # Match label
+    { ?country  rdfs:label $x@en.}  # Match label
   UNION
-  { ?country skos:altLabel "Italy"@en. }  # Match alias   
+  { ?country skos:altLabel $x@en. }  # Match alias   
 
   # Retrieve references from the statement
   OPTIONAL {
@@ -290,9 +1086,9 @@ SELECT ?fashion_designerLabel   (SAMPLE(?statement) AS ?statement)
   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
 } 
 GROUP BY ?fashion_designerLabel 
-ORDER BY ?fashion_designerLabel """
+ORDER BY ?fashion_designerLabel """)
 
-country_designer_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+country_designer_query = Template("""PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
 PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
 PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
 PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
@@ -306,9 +1102,9 @@ SELECT ?fashion_designerLabel (SAMPLE(?reference_URL) AS ?reference_URL) {
   ?fashion_designer wbt:P2 wb:Q5.
   ?fashion_designer wbt:P6 ?country.
   ?fashion_designer p:P6 ?statement.
-    { ?country  rdfs:label "Italy"@en.}  # Match label
+    { ?country  rdfs:label $x@en.}  # Match label
   UNION
-  { ?country  skos:altLabel "Italy"@en. }  # Match alias   
+  { ?country  skos:altLabel $x@en. }  # Match alias   
  
 
   # Retrieve references from the statement
@@ -321,11 +1117,11 @@ SELECT ?fashion_designerLabel (SAMPLE(?reference_URL) AS ?reference_URL) {
   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
 } 
 GROUP BY ?fashion_designerLabel 
-ORDER BY ?fashion_designerLabel  """
+ORDER BY ?fashion_designerLabel  """)
 
 
-designer_order_fashion_collection_question = "Which fashion collections did Alessandro Michele work on?"
-designer_order_fashion_collection_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+designer_order_fashion_collection_question = Template("Which fashion collections did $x work on?")
+designer_order_fashion_collection_query = Template("""PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
 PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
 PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
 PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
@@ -340,9 +1136,9 @@ SELECT ?fashion_houseLabel
       (YEAR(?fashion_year) as ?year ) ?fashion_seasonLabel ?categoryLabel WHERE {
    # Designer linked to fashion house through roles or founded_by
    ?fashion_designer wbt:P2 wb:Q5. 
-  { ?fashion_designer  rdfs:label "Alessandro Michele"@en.}  # Match label
+  { ?fashion_designer  rdfs:label $x@en.}  # Match label
   UNION
-  { ?fashion_designer  skos:altLabel "Alessandro Michele"@en. }  # Match alias                                               
+  { ?fashion_designer  skos:altLabel $x@en. }  # Match alias                                               
                                             
    
    # Link through "creative director" or other roles
@@ -384,7 +1180,7 @@ FILTER(
    }
 
    SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
-} ORDER BY ?year """
+} ORDER BY ?year """)
 
 
 education_most_popular_question = "What are the most popular educational institutions for fashion designers?"
@@ -683,13 +1479,13 @@ questions_queries_dict = [ { "question": education_most_popular_question, "query
                            {"question": collections_sustainability_theme_question, "query": collections_sustainability_theme_query},
                            ]
 
-
-questions_queries_dict_entity = [{"question": fashion_house_directors_question, "query": fashion_house_directors_query},
-                          { "question": designer_fashion_house_directors_question, "query": designer_fashion_house_directors_query},
-                          { "question": country_designer_question, "query": country_designer_query},
-                          { "question": designer_order_fashion_collection_question, "query": designer_order_fashion_collection_query},
-                          { "question": designer_fashion_director_question2, "query": designer_fashion_director_query2},
-                          { "question": year_designers_birth_question, "query": year_designers_birth_query}]
+questions_queries_dict_entity = [                            {"question": fashion_house_directors_question.substitute({ "x": f"{"Chanel"}"}), "query": fashion_house_directors_query.substitute({ "x": f"'{"Chanel"}'"})},
+                          { "question": designer_fashion_house_directors_question.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_fashion_house_directors_query.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          {"question": country_designer_question.substitute({ "x": f"{"Italy"}"}), "query": country_designer_query.substitute({ "x": f"'{"Italy"}'"})},
+                          {  "question": designer_order_fashion_collection_question.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_order_fashion_collection_query.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          {"question": designer_fashion_director_question2.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_fashion_director_query2.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          { "question": year_designers_birth_question.substitute({ "x": 1970}), "query": year_designers_birth_query.substitute({ "x": 1970})},
+                          { "question": fashion_collection_images_question.substitute({ "x": f"{"Chanel"}"}), "query": fashion_collection_images_query.substitute({ "x": f"'{"Chanel"}'"})}]
 
 
 # Designers
@@ -795,3 +1591,4 @@ education_influenced_collection_question = "Which fashion collections were influ
 
 
 
+

src/use_llm.py

@@ -1,42 +1,80 @@
 
-from huggingface_hub import InferenceClient
-import os
+# from huggingface_hub import InferenceClient
+# import os
 
-# Use a Hugging Face inference endpoint like "google/gemma-1.1-7b-it"
-# You must have access to this model (either public or via token)
+# # Use a Hugging Face inference endpoint like "google/gemma-1.1-7b-it"
+# # You must have access to this model (either public or via token)
 
-HUGGINGFACE_API_TOKEN = os.getenv("HF_TOKEN")  # Add this in your HF Space's secret settings
-DEFAULT_MODEL = "google/gemma-1.1-7b-it"
+# HUGGINGFACE_API_TOKEN = os.getenv("HF_TOKEN")  # Add this in your HF Space's secret settings
+# DEFAULT_MODEL = "google/gemma-1.1-7b-it"
 
-client = InferenceClient(DEFAULT_MODEL, token=HUGGINGFACE_API_TOKEN)
+# client = InferenceClient(DEFAULT_MODEL, token=HUGGINGFACE_API_TOKEN)
 
-def send_chat_prompt(prompt: str, model: str, system_prompt: str) -> str:
-    full_prompt = f"<|start_of_turn|>system\n{system_prompt}<|end_of_turn|>\n" \
-                  f"<|start_of_turn|>user\n{prompt}<|end_of_turn|>\n" \
-                  f"<|start_of_turn|>assistant\n"
+# def send_chat_prompt(prompt: str, model: str, system_prompt: str) -> str:
+#     full_prompt = f"<|start_of_turn|>system\n{system_prompt}<|end_of_turn|>\n" \
+#                   f"<|start_of_turn|>user\n{prompt}<|end_of_turn|>\n" \
+#                   f"<|start_of_turn|>assistant\n"
     
-    response = client.text_generation(
-        prompt=full_prompt,
-        max_new_tokens=500,
-        temperature=0.5,
-        stop_sequences=["<|end_of_turn|>"]
-    )
+#     response = client.text_generation(
+#         prompt=full_prompt,
+#         max_new_tokens=500,
+#         temperature=0.5,
+#         stop_sequences=["<|end_of_turn|>"]
+#     )
     
-    return response.strip()
+#     return response.strip()
 
-def main_generate(prompt, model=DEFAULT_MODEL, system_prompt="You are a helpful assistant that generates SPARQL queries."):
-    response = send_chat_prompt(prompt, model, system_prompt)
-    response = response.replace('```', '').replace('json', '').strip()
-    return response
+# def main_generate(prompt, model=DEFAULT_MODEL, system_prompt="You are a helpful assistant that generates SPARQL queries."):
+#     response = send_chat_prompt(prompt, model, system_prompt)
+#     response = response.replace('```', '').replace('json', '').strip()
+#     return response
+
+
+
+
+
+
+# from sentence_transformers import SentenceTransformer
+
+# model = SentenceTransformer("thenlper/gte-large")  # downloaded from Hugging Face
 
+# def get_embeddings(texts):
+#     if isinstance(texts, str):
+#         texts = [texts]
+#     embeddings = model.encode(texts, convert_to_numpy=True)
+#     return embeddings
 
 
-from sentence_transformers import SentenceTransformer
 
-model = SentenceTransformer("thenlper/gte-large")  # downloaded from Hugging Face
+
+
+
+import ollama 
+import openai 
 
 def get_embeddings(texts):
-    if isinstance(texts, str):
-        texts = [texts]
-    embeddings = model.encode(texts, convert_to_numpy=True)
-    return embeddings
+    response = ollama.embed(model="mxbai-embed-large", input=texts)
+    embeddings = response["embeddings"]
+    return embeddings
+
+
+openai_api_key = "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"
+#generate
+def send_chat_prompt(prompt, model, system_prompt ):
+    client = openai.OpenAI(
+            base_url="http://localhost:11434/v1" if not "gpt" in model else None,
+            api_key= "ollama" if not "gpt" in model else openai_api_key)
+    resp = client.chat.completions.create(
+        model=model,
+        temperature = 0.5 ,
+        messages=[
+                {"role": "system", "content": system_prompt},  
+                {"role": "user", "content": prompt}])
+    response = resp.choices[0].message.content
+    return response
+
+def main_generate(prompt,model, system_prompt):
+    response = send_chat_prompt(prompt,model, system_prompt)
+    response = response.replace('```','').replace('json','')
+    #print(f" {model} Response:", response)
+    return response

src/visual_qa.py

@@ -8,12 +8,16 @@ os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
 from datasets import load_dataset
 import chromadb
+from chromadb import Client
+from chromadb.config import Settings
 
 from datetime import datetime   
 
 def initialize_collection(collection_name="clip_image_embeddings"):
     # Initialize ChromaDB client (PersistentClient stores embeddings between runs)
     client = chromadb.PersistentClient(path="./chroma_db")  # Change path if needed
+    #client = chromadb.EphemeralClient()
+
 
     # Get a list of existing collection names
     existing_collections = [col for col in client.list_collections()]  # v0.6.0 change
@@ -86,7 +90,7 @@ def main_text_retrieve_images(text, result_query=None, n_retrieved=5):
 
     # Convert to pandas DataFrame
     df_emb = full_dataset.to_pandas()
-    #print(df_emb.head())  # Debugging statement
+    print(df_emb.head())  # Debugging statement
     df_emb = df_emb.drop_duplicates(subset='image_urls')
     df_emb['fashion_clip_image'] = df_emb['fashion_clip_image'].apply(lambda x: x[0] if type(x) == list else None)
     df_emb['image_url'] = df_emb['image_urls'].apply(lambda x: x[0] if x else None)
@@ -124,3 +128,4 @@ def main_text_retrieve_images(text, result_query=None, n_retrieved=5):
 #     text = "dress"
 #     result = main_text_retrieve_images(text)
 #     print(result)
+

src1/generate_queries_alternative.py

@@ -0,0 +1,619 @@
+from src1.questions_queries import *
+import time
+import ollama
+import uuid
+import chromadb
+import openai 
+openai_api_key = "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"
+
+import spacy
+nlp = spacy.load("en_core_web_sm")
+import os
+#os.environ["TOKENIZERS_PARALLELISM"] = "false"
+
+wikibase_properties_id = {'instance of': 'P2',
+ 'reference URL': 'P24',
+ 'start time': 'P15',
+ 'end time': 'P16',
+ 'occupation title': 'P25',
+ 'educated at': 'P9',
+ 'employer': 'P10',
+ 'work location': 'P7',
+ 'award received': 'P18',
+ 'point in time': 'P28',
+ 'exact match': 'P23',
+ 'date of birth': 'P3',
+ 'place of birth': 'P4',
+ 'date of death': 'P5',
+ 'country of citizenship': 'P6',
+ 'occupation': 'P19',
+ 'sex or gender': 'P8',
+ 'official website': 'P17',
+ 'perfumes': 'P27',
+ 'who wears it': 'P26',
+ 'inception': 'P11',
+ 'headquarters location': 'P12',
+ 'parent organization': 'P13',
+ 'founded by': 'P14',
+ 'owned by': 'P22',
+ 'industry': 'P20',
+ 'country': 'P30',
+ 'total revenue': 'P21',
+ 'designer employed': 'P29',
+ 'country of origin': 'P30',
+ 'fashion collection': 'P31',
+ 'fashion season': 'P32',
+ 'fashion show location': 'P33',
+ 'description of fashion collection': 'P34',
+ 'image of fashion collection': 'P35',
+ 'editor of fashion collection description': 'P36',
+ 'date of fashion collection': 'P37',
+ 'fashion show category': 'P38',
+ 'fashion house X fashion collection': 'P39'}
+
+classes_wikibase = {'fashion designer': 'Q5',
+ 'fashion house': 'Q1',
+ 'business': 'Q9',
+ 'academic institution': 'Q2',
+ 'geographic location': 'Q4',
+ 'fashion award': 'Q8',
+ 'gender': 'Q6',
+ 'occupation': 'Q7',
+ 'human': 'Q36',
+ 'organization': 'Q3',
+ 'brand': 'Q38',
+ 'lifestyle brand': 'Q3417',
+ 'privately held company': 'Q1729',
+ 'fashion season': 'Q8199',
+ 'fashion show category': 'Q8200',
+ 'fashion season collection': 'Q8201',
+ 'fashion journalist': 'Q8207'}
+
+questions_queries_all = [{ "question": education_most_popular_question, "query": education_most_popular_query},
+                          { "question": how_many_designers_per_fashion_house_question, "query": how_many_designers_per_fashion_house_query},
+                           {"question": how_many_directors_per_fashion_house_question, "query": how_many_directors_per_fashion_house_query}, 
+                           {"question": designers_multiple_houses_question, "query":designers_multiple_houses_query }, 
+                           {"question": award_question, "query": award_question},
+                           {"question": fashion_houses_with_collections_question, "query": fashion_houses_with_collections_query},
+                           {"question": popular_year_inception_question, "query": popular_year_inception_query},
+                           {"question": longest_serving_director_question, "query": longest_serving_director_query},
+                           {"question": houses_most_collections_question, "query": houses_most_collections_query},
+                           {"question": collections_sustainability_theme_question, "query": collections_sustainability_theme_query},
+                           {"question": collections_jeans_question, "query": collections_jeans_query},
+                           {"question": creative_directors_school_question, "query": creative_directors_school_query}, 
+                           {"question": fashion_houses_thematic_collection_question, "query": fashion_houses_thematic_collection_query},
+                           {"question": fashion_house_directors_question.substitute({ "x": f"{"Chanel"}"}), "query": fashion_house_directors_query.substitute({ "x": f"'{"Chanel"}'"})},
+                          { "question": designer_fashion_house_directors_question.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_fashion_house_directors_query.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          {"question": country_designer_question.substitute({ "x": f"{"Italy"}"}), "query": country_designer_query.substitute({ "x": f"'{"Italy"}'"})},
+                          {  "question": designer_order_fashion_collection_question.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_order_fashion_collection_query.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          {"question": designer_fashion_director_question2.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_fashion_director_query2.substitute({ "x": f"'{"Alexander McQueen"}'"})},
+                          { "question": year_designers_birth_question.substitute({ "x": 1970}), "query": year_designers_birth_query.substitute({ "x": 1970})},
+                          { "question": fashion_collection_images_question.substitute({ "x": f"{"Chanel"}"}), "query": fashion_collection_images_query.substitute({ "x": f"'{"Chanel"}'"})}
+                           ]
+
+if os.path.exists("web_app/query_log.json"):
+    other_pairs = pd.read_json("web_app/query_log.json")
+    other_pairs_success = other_pairs[(other_pairs["status"] == "Success") & (other_pairs["feedback"] == "good")]
+    other_pairs_success = other_pairs_success[["question", "query"]]
+    questions_queries_all = questions_queries_all + other_pairs_success.to_dict(orient='records')
+
+    #print only the questions
+    #print([q["question"] for q in questions_queries_all])
+    
+    
+
+
+
+def mask_entities(text, nlp):
+    doc = nlp(text)
+    masked_text = text
+    for ent in doc.ents:
+        masked_text = masked_text.replace(ent.text, "[ENTITY]")
+    return masked_text
+
+
+
+
+import re
+import spacy
+
+def replace_entity(original_question, to_do_question, query):
+    """
+    Replaces entities in the query using entities from to_do_question while preserving quotation marks.
+    Handles multiple entity replacements and numerical entity replacements.
+    """
+    nlp = spacy.load("en_core_web_sm")
+    
+    original_doc = nlp(original_question)
+    to_do_doc = nlp(to_do_question)
+    
+    # Extract entities from both questions
+    original_entities = [ent.text for ent in original_doc.ents]
+    to_do_entities = [ent.text for ent in to_do_doc.ents]
+    # print("Original Entities:", original_entities)
+    # print("To-Do Entities:", to_do_entities)
+
+    # Create entity mapping
+    entity_mapping = {}
+
+    for orig_ent, new_ent in zip(original_entities, to_do_entities):
+        # Find numbers in each entity
+        orig_numbers = re.findall(r"\d+", orig_ent)
+        new_numbers = re.findall(r"\d+", new_ent)
+
+        if orig_numbers and new_numbers and len(orig_numbers) == len(new_numbers):
+            # If multiple numbers, replace each one
+            for orig_num, new_num in zip(orig_numbers, new_numbers):
+                entity_mapping[orig_num] = new_num
+        else:
+            # Otherwise, replace entire entity
+            entity_mapping[orig_ent] = new_ent
+
+    #print("Entity Mapping:", entity_mapping)
+
+    # Replace entities in the query
+    for orig, new in entity_mapping.items():
+        query = re.sub(rf'("{orig}"|\b{re.escape(orig)}\b)', 
+                       lambda match: f'"{new}"' if match.group(0).startswith('"') else new, 
+                       query)
+
+    return query
+
+
+def capitalize_sentences(sentences):
+    """
+    Ensures that each sentence in a list starts with an uppercase letter.
+    """
+    capitalized_sentences = []
+    
+    for sentence in sentences:
+        sentence = sentence.strip()  # Remove leading/trailing spaces
+        if sentence:  # Check if the sentence is not empty
+            sentence = sentence[0].upper() + sentence[1:]  # Capitalize first letter
+        capitalized_sentences.append(sentence)
+    
+    return capitalized_sentences
+
+
+
+import numpy as np
+import spacy
+
+
+
+def similarity_question(question, questions_queries_dictionary, collection, n_results=5, threshold=0.15):
+    """
+    Removes duplicate embeddings and retrieves similar questions.
+    """
+    nlp = spacy.load("en_core_web_sm")  # Load spaCy model for entity recognition
+    
+    original_documents = [questions_queries_dictionary[i]["question"] for i in range(len(questions_queries_dictionary))]
+    masked_documents = [mask_entities(q, nlp) for q in original_documents]
+
+    # Dictionary to store unique embeddings
+    unique_embeddings = {}
+
+    # Store each unique document in the vector embedding database
+    for i, d in enumerate(masked_documents):
+        response = ollama.embed(model="mxbai-embed-large", input=d)
+        embedding = response["embeddings"][0]  # Extract the first (and only) embedding from the nested list
+        
+        # Check if embedding is unique
+        is_duplicate = any(np.allclose(embedding, np.array(e), atol=1e-6) for e in unique_embeddings.values())
+        if not is_duplicate:
+            unique_embeddings[str(i)] = embedding  # Store unique embedding as a list
+            
+            collection.add(
+                ids=[str(i)],
+                embeddings=[embedding],  # Ensure this is a list of lists
+                documents=[d]
+            )
+    
+    # Compute the embedding for the input question
+    masked_question = mask_entities(question, nlp)
+    response = ollama.embed(model="mxbai-embed-large", input=masked_question)
+    query_embedding = response["embeddings"][0]  # Extract embedding
+
+    results = collection.query(
+        query_embeddings=[query_embedding],  # Ensure correct format
+        n_results=n_results
+    )
+
+    triples = []
+    for i in range(len(results['documents'][0])):
+        masked_similar_question = results['documents'][0][i]
+        distance = results['distances'][0][i]
+        print(distance)
+        paraphrase = distance < threshold
+        
+        # Find the corresponding original question
+        index_similar_query = masked_documents.index(masked_similar_question)
+        original_similar_question = original_documents[index_similar_query]
+        similar_query = questions_queries_dictionary[index_similar_query]["query"]
+        
+        if paraphrase and "[ENTITY]" in masked_similar_question and "[ENTITY]" in masked_question:
+            to_do_query = replace_entity(original_similar_question, question, similar_query)
+        else:
+            to_do_query = None
+        
+        triples.append((original_similar_question, similar_query, to_do_query))
+    
+    return triples
+
+
+def similarity_question_no_masking(question, questions_queries_dictionary, collection, n_results=5, threshold=0.15):
+    """
+    Removes duplicate embeddings and retrieves similar questions.
+    """
+    
+    original_documents = [questions_queries_dictionary[i]["question"] for i in range(len(questions_queries_dictionary))]
+ 
+
+    # Dictionary to store unique embeddings
+    unique_embeddings = {}
+
+    # Store each unique document in the vector embedding database
+    for i, d in enumerate(original_documents):
+        response = ollama.embed(model="mxbai-embed-large", input=d)
+        embedding = response["embeddings"][0]  # Extract the first (and only) embedding from the nested list
+        
+        # Check if embedding is unique
+        is_duplicate = any(np.allclose(embedding, np.array(e), atol=1e-6) for e in unique_embeddings.values())
+        if not is_duplicate:
+            unique_embeddings[str(i)] = embedding  # Store unique embedding as a list
+            
+            collection.add(
+                ids=[str(i)],
+                embeddings=[embedding],  # Ensure this is a list of lists
+                documents=[d]
+            )
+    
+    # Compute the embedding for the input question
+    
+    response = ollama.embed(model="mxbai-embed-large", input=question)
+    query_embedding = response["embeddings"][0]  # Extract embedding
+
+    results = collection.query(
+        query_embeddings=[query_embedding],  # Ensure correct format
+        n_results=n_results
+    )
+
+    triples = []
+    for i in range(len(results['documents'][0])):
+        similar_question = results['documents'][0][i]
+        distance = results['distances'][0][i]
+        print(distance)
+        paraphrase = distance < threshold
+        
+        # Find the corresponding original question
+        index_similar_query = original_documents.index(similar_question)
+        original_similar_question = original_documents[index_similar_query]
+        similar_query = questions_queries_dictionary[index_similar_query]["query"]
+        
+        to_do_query = similar_query if paraphrase else None
+        
+        triples.append((original_similar_question, similar_query, to_do_query))
+    
+    return triples
+
+def select_dict(dict, keys):
+    return {k: dict[k] for k in keys if k in dict}
+
+def prompt_template(to_do_question,triples_examples,wikibase_properties_id,how_many_examples = 1, ):
+
+    questions = [triples_examples[i][0] for i in range(len(triples_examples))][:how_many_examples]
+    print("EXAMPLE QUESTION(s): ",questions)
+
+    classes_wikibase_selection = select_dict(classes_wikibase, ["fashion house", "fashion designer"])
+    general_properties = select_dict(wikibase_properties_id, ["instance of", "reference URL", "start time", "end time", "occupation title", "point in time", "official website"])
+    general_properties["rdfs:label"] = "rdfs:label"
+    designer_properties = select_dict(wikibase_properties_id, ["employer", "educated at", "work location", "award received", "date of birth", "date of death", "place of birth",  "country of citizenship", "occupation", "sex or gender"])
+    fashion_house_properties = select_dict(wikibase_properties_id, ["inception","headquarters location", "parent organization", "founded by","owned by", "industry", "country", "total revenue", "designer employed", "fashion collection", "description of fashion collection","image of fashion collection"])
+    fashion_collection_properties = select_dict(wikibase_properties_id, ["fashion show category", "fashion show location", "fashion season"])
+    qualifier_properties = select_dict(wikibase_properties_id, ["start time", "end time", "occupation title", "point in time","description of fashion collection","image of fashion collection"])
+    
+    prompt = f"""You are an expert in translating natural language questions into SPARQL queries for FashionDB - a knwoledge graph about Fashion.
+    I provide you with the ontology of FashionDB. The properties are stored in a dictionary as property_label: property_id. The classes are stored in a dictionary as class_label: class_id.
+    General Properties: {general_properties}, Fashion Designer Properties: {designer_properties}, Fashion House Properties: {fashion_house_properties}, Fashion Collection Properties: {fashion_collection_properties}. 
+    In particular the following properties are always qualifiers thus their prefix is always pq: {qualifier_properties}.
+    Classes: {classes_wikibase_selection}.
+    Remember to use the entities presented in Natural language question to translate , when generating the corresponding SPARQL query.
+    
+    
+    I provide you with example."""
+    for i in range(len(questions)):
+        prompt += f""" Example question: {triples_examples[i][0]}
+                    Corresponding SPARQL query:{triples_examples[i][1]} """
+    prompt += f""" Question to translate to SPARQL: {to_do_question}
+    Remember that the use case is FASHION: if there is a mispelling of a fashion designer or house, you can adjust it according to your knowledge of fashion. Example: "balenciaho" should be "Balenciaga". 
+                Your generated corresponding SPARQL query: """
+
+    return prompt
+
+
+def prompt_template_gemma2(to_do_question, triples_examples, wikibase_properties_id, how_many_examples=1):
+    questions = [triples_examples[i][0] for i in range(len(triples_examples))][:how_many_examples]
+    print("EXAMPLE QUESTION(s): ",questions)
+    classes_wikibase_selection = select_dict(classes_wikibase, ["fashion house", "fashion designer"])
+    general_properties = select_dict(wikibase_properties_id, ["instance of", "reference URL", "start time", "end time", "occupation title", "point in time", "official website"])
+    general_properties["rdfs:label"] = "rdfs:label"
+    designer_properties = select_dict(wikibase_properties_id, ["employer", "educated at", "work location", "award received", "date of birth", "date of death", "place of birth", "country of citizenship", "occupation", "sex or gender"])
+    fashion_house_properties = select_dict(wikibase_properties_id, ["inception", "headquarters location", "parent organization", "founded by", "owned by", "industry", "country", "total revenue", "designer employed", "fashion collection", "description of fashion collection", "image of fashion collection"])
+    fashion_collection_properties = select_dict(wikibase_properties_id, ["fashion show category", "fashion show location", "fashion season"])
+    qualifier_properties = select_dict(wikibase_properties_id, ["start time", "end time", "occupation title", "point in time", "description of fashion collection", "image of fashion collection"])
+    
+    prompt = f"""
+    You are an expert in translating natural language fashion-related questions into **SPARQL queries** for **FashionDB**, a knowledge graph about fashion.
+
+    ---
+    ## **FashionDB Ontology**
+    - **Classes**: {classes_wikibase_selection}
+    - **General Properties**: {general_properties}
+    - **Fashion Designer Properties**: {designer_properties}
+    - **Fashion House Properties**: {fashion_house_properties}
+    - **Fashion Collection Properties**: {fashion_collection_properties}
+    - **Qualifier Properties** (always prefixed with `pq:`): {qualifier_properties}
+
+    ---
+    ## **Instructions**
+    - **Fix misspellings** of fashion brands and designers before generating the query.
+        - Example: "Guxci" → **"Gucci"**, "Balenciaho" → **"Balenciaga"**.
+    - If a brand or designer **isn't recognized**, **make a reasonable correction** based on common fashion knowledge.
+    - Handle **abstract or conceptual fashion questions**, such as:
+        - "Which fashion houses have had the most influence in the 20th century?"
+        - "What are the key design trends in haute couture from the 1990s?"
+    - **Always return a valid SPARQL query** using the provided ontology.
+
+    ---
+    ## **Example(s)**
+    """
+    
+    for i in range(len(questions)):
+        prompt += f"""
+        **Example {i+1}**  
+        - **Question**: {triples_examples[i][0]}  
+        - **SPARQL Query**:  
+        ```sparql
+        {triples_examples[i][1]}
+        ```
+        """
+
+    prompt += f"""
+    ---
+    ## **Your Task**
+    **Question**: {to_do_question}
+
+    **SPARQL Query:**  
+    ```sparql
+    """
+
+    return prompt
+
+def prompt_template_gpt4o_mini(to_do_question, triples_examples, wikibase_properties_id, how_many_examples=1):
+    questions = [triples_examples[i][0] for i in range(len(triples_examples))][:how_many_examples]
+    
+    classes_wikibase_selection = select_dict(classes_wikibase, ["fashion house", "fashion designer"])
+    general_properties = select_dict(wikibase_properties_id, ["instance of", "reference URL", "start time", "end time", "occupation title", "point in time", "official website"])
+    general_properties["rdfs:label"] = "rdfs:label"
+    designer_properties = select_dict(wikibase_properties_id, ["employer", "educated at", "work location", "award received", "date of birth", "date of death", "place of birth", "country of citizenship", "occupation", "sex or gender"])
+    fashion_house_properties = select_dict(wikibase_properties_id, ["inception", "headquarters location", "parent organization", "founded by", "owned by", "industry", "country", "total revenue", "designer employed", "fashion collection", "description of fashion collection", "image of fashion collection"])
+    fashion_collection_properties = select_dict(wikibase_properties_id, ["fashion show category", "fashion show location", "fashion season"])
+    qualifier_properties = select_dict(wikibase_properties_id, ["start time", "end time", "occupation title", "point in time", "description of fashion collection", "image of fashion collection"])
+    
+    prompt = f"""
+    You are a **SPARQL expert** specializing in **FashionDB**, a knowledge graph about fashion.
+
+    ### **Your Task**
+    - Translate the given **natural language question** into a **valid SPARQL query**.
+    - **Fix spelling mistakes** of fashion brands and designers.
+        - Example: "Guxci" → "Gucci", "Balenciaho" → "Balenciaga".
+    - If a brand or designer isn't recognized, **guess the correct name** based on fashion industry knowledge.
+    - Support **abstract fashion questions**, such as:
+        - "How did Dior's designs evolve over the decades?"
+        - "Which fashion houses had the biggest impact on 21st-century streetwear?"
+    - Your **SPARQL query must use the correct ontology**.
+
+    ---
+    ### **FashionDB Ontology**
+    - **Classes**: {classes_wikibase_selection}
+    - **General Properties**: {general_properties}
+    - **Fashion Designer Properties**: {designer_properties}
+    - **Fashion House Properties**: {fashion_house_properties}
+    - **Fashion Collection Properties**: {fashion_collection_properties}
+    - **Qualifier Properties (always prefixed with `pq:`)**: {qualifier_properties}
+
+    ---
+    ### **Example(s)**
+    """
+    
+    for i in range(len(questions)):
+        prompt += f"""
+        **Example {i+1}**  
+        - **Question**: {triples_examples[i][0]}  
+        - **SPARQL Query**:  
+        ```sparql
+        {triples_examples[i][1]}
+        ```
+        """
+
+    prompt += f"""
+    ---
+    ### **Now Translate This Question**
+    **Question**: {to_do_question}
+
+    **SPARQL Query:**  
+    ```sparql
+    """
+
+    return prompt
+
+#generate
+def send_chat_prompt(prompt, model, system_prompt ):
+    client = openai.OpenAI(
+            base_url="http://localhost:11434/v1" if not "gpt" in model else None,
+            api_key= "ollama" if not "gpt" in model else openai_api_key)
+    resp = client.chat.completions.create(
+        model=model,
+        temperature = 0.5 ,
+        messages=[
+                {"role": "system", "content": system_prompt},  
+                {"role": "user", "content": prompt}])
+    response = resp.choices[0].message.content
+    return response
+
+def main_generate(prompt,model, system_prompt):
+    response = send_chat_prompt(prompt,model, system_prompt)
+    response = response.replace('```','').replace('json','')
+    #print(f" {model} Response:", response)
+    return response
+
+
+#validate
+def replace_last_occurrence(s, pattern, replacement):
+    pos = s.rfind(pattern)  # Find the last occurrence of the pattern
+    if pos != -1:
+        return s[:pos] + s[pos:].replace(pattern, replacement, 1)
+        
+def validation_query(sparql_query):
+    if sparql_query.startswith("sparql"):
+        sparql_query = sparql_query[6:]
+    #if last character is \n remove it 
+    while sparql_query[-1] == "\n" or sparql_query[-1] == " ":
+        sparql_query = sparql_query[:-1]
+
+    if sparql_query[-1] == ".":
+        sparql_query = sparql_query[:-1]
+    sparql_query = sparql_query.encode().decode('unicode_escape')
+    sparql_query = sparql_query.replace("wdt", "wbt")
+    if "SERVICE" not in sparql_query:
+        sparql_query = replace_last_occurrence(sparql_query, "}", "SERVICE wikibase:label { bd:serviceParam wikibase:language 'en'. } \n }")
+    
+    return sparql_query
+
+
+def safe_get_results(query, max_retries=3):
+    """
+    Safely executes a SPARQL query, handling HTTP errors gracefully.
+    
+    Parameters:
+    - query (str): The SPARQL query to execute.
+    - max_retries (int): Number of retries before failing.
+    
+    Returns:
+    - DataFrame: Query results, or an empty DataFrame if the query fails.
+    """
+    for attempt in range(max_retries):
+        try:
+            return get_results_to_df(query)  # Attempt to execute the query
+        except requests.exceptions.HTTPError as e:
+            print(f"Attempt {attempt + 1}: Query failed with HTTPError {e}")
+            time.sleep(2)  # Wait before retrying
+        except Exception as e:
+            print(f"Attempt {attempt + 1}: Unexpected error {e}")
+            time.sleep(2)
+
+    print("All attempts failed. Returning empty DataFrame.")
+    return pd.DataFrame()  # Return empty DataFrame if all retries fail
+
+
+
+def correction_question_prompt(to_do_question):
+    correction_prompt = f"""
+    You are an expert in **fashion brand and designer names**.
+    Your task is to **correct misspellings** in the given question while keeping its original meaning.
+    If you recognize a fashion-related name that is misspelled, **fix it**.
+    If nothing is wrong, generate the Question to Correct.
+    Don't generate **.
+
+    ### **Examples**
+    - "Who founded Guxci?" → "Who founded Gucci?"
+    - "What is balenciaho famous for?" → "What is Balenciaga famous for?"
+    - "Who is the head designer of gucxi?" → "Who is the head designer of Gucci?"
+
+    ### **Question to Correct**
+    {to_do_question}
+
+    ### **Corrected Version**
+    """
+    return correction_prompt
+
+def initialize_collection():
+    # Initialize ChromaDB client
+    client = chromadb.Client()
+    # If the collection already exists, delete it to start fresh.
+    try:
+        client.delete_collection(name="docs")  # Delete the existing collection
+    except:
+        pass  
+    # Re-create the collection for each query
+    collection = client.create_collection(name="docs")
+    return collection
+
+
+
+
+
+def main_generate_queries(to_do_question):
+    
+    # # Initialize ChromaDB client
+    # client = chromadb.Client()
+    # # If the collection already exists, delete it to start fresh.
+    # try:
+    #     client.delete_collection(name="docs")  # Delete the existing collection
+    # except:
+    #     pass  
+    # # Re-create the collection for each query
+    # collection = client.create_collection(name="docs")
+    collection = initialize_collection()
+    triples_examples = similarity_question(to_do_question, questions_queries_all, collection)
+    if triples_examples[0][2] is not None:
+        print("it's a paraphrase :)")
+        sparql_query = triples_examples[0][2]
+        print(triples_examples[0][0])
+        result_query = safe_get_results(sparql_query)
+        if result_query.empty:
+            to_do_question = main_generate(correction_question_prompt(to_do_question), "gemma2", "You have to fix the mispellings of the Question to Correct")
+            print(to_do_question)
+            sparql_query = replace_entity(triples_examples[0][0], to_do_question, triples_examples[0][1])
+            result_query = safe_get_results(sparql_query)
+        print(sparql_query)
+        if not result_query.empty:
+            return result_query.to_dict(orient='records'), sparql_query
+
+    prompt = prompt_template_gemma2(to_do_question, triples_examples, wikibase_properties_id, how_many_examples=1)
+
+    sparql_query = main_generate(prompt, "gemma2", "You are a natural language to SPARQL language translator. Do only generate the SPARQL query, nothing else.")
+    sparql_query = validation_query(sparql_query)
+    result_query = safe_get_results(sparql_query)
+
+    print(sparql_query)
+    if result_query.empty:
+        to_do_question = main_generate(correction_question_prompt(to_do_question), "gemma2", "You have to fix the mispellings of the Question to Correct")
+        print(to_do_question)
+        prompt = prompt_template_gemma2(to_do_question, triples_examples, wikibase_properties_id, how_many_examples=2)
+        sparql_query = main_generate(prompt, "gemma2", "You are a natural language to SPARQL language translator. Do only generate the SPARQL query, nothing else.")
+        sparql_query = validation_query(sparql_query)
+        result_query = safe_get_results(sparql_query)
+        if result_query.empty:
+            new_collection = initialize_collection()
+            triples_examples_no_masked = similarity_question_no_masking(to_do_question, questions_queries_all, new_collection)
+            prompt = prompt_template_gemma2(to_do_question, triples_examples_no_masked, wikibase_properties_id, how_many_examples=2)
+            sparql_query = main_generate(prompt, "gemma2", "You are a natural language to SPARQL language translator. Do only generate the SPARQL query, nothing else.")
+            sparql_query = validation_query(sparql_query)
+            result_query = safe_get_results(sparql_query)
+            print(sparql_query)
+            if result_query.empty:
+                text_generated =  main_generate(to_do_question, "gemma2", "You are an expert in fashion. Just provide the answer to the question.")
+                return text_generated, sparql_query
+
+    print(sparql_query)
+    print(result_query)
+    
+    return result_query.to_dict(orient='records'), sparql_query
+
+#main("What is the inception of Chanel?")
+if __name__ == "__main__":
+    #main("Which fashion designers being creative directors were born in Italy?")
+    #main_generate_queries("Which fashion houses had collections with jeans in their descriptions and how many of the collections have jeans?")
+    main_generate_queries("Which designers were born in 1970?")
+

src1/questions_queries.py

@@ -0,0 +1,863 @@
+import sys
+import os
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from urllib.parse import urlparse
+import logging
+log = logging.getLogger(__name__)
+from time import sleep
+import requests
+helpers_session = requests.Session()
+from wikibaseintegrator.wbi_helpers import get_user_agent
+import pandas as pd
+from string import Template
+
+
+wikibase_api_url = 'https://fashionwiki.wikibase.cloud/w/api.php'
+config = {
+  "SPARQL_ENDPOINT_URL": "https://fashionwiki.wikibase.cloud/query/sparql",
+  'USER_AGENT':  'YourBotName/1.0 (https://yourwebsite.org/bot-info)',#"Traopia",
+  'WIKIBASE_URL': wikibase_api_url,
+  }
+
+def execute_sparql_query(query: str, prefix: str | None = None, endpoint: str | None = None, user_agent: str | None = None, max_retries: int = 1000, retry_after: int = 60) -> dict:
+    """
+    Execute any SPARQL query with the provided parameters.
+    """
+
+    sparql_endpoint_url = str(endpoint or config['SPARQL_ENDPOINT_URL'])
+    user_agent = user_agent or (str(config['USER_AGENT']) if config['USER_AGENT'] is not None else None)
+
+    hostname = urlparse(sparql_endpoint_url).hostname
+    if hostname and hostname.endswith(('wikidata.org', 'wikipedia.org', 'wikimedia.org')) and user_agent is None:
+        log.warning('WARNING: Please set a user agent if you interact with a Wikimedia Foundation instance.')
+
+    if prefix:
+        query = prefix + '\n' + query
+
+    headers = {
+        'Accept': 'application/sparql-results+json',
+        'User-Agent': get_user_agent(user_agent),
+        'Content-Type': 'application/sparql-query'  # Correct Content-Type
+    }
+
+    # Attempt to make the request
+    for _ in range(max_retries):
+        try:
+            # Use 'data' instead of 'params' for the POST request to SPARQL
+            response = helpers_session.post(sparql_endpoint_url, data=query, headers=headers)
+        except requests.exceptions.ConnectionError as e:
+            log.exception("Connection error: %s. Sleeping for %d seconds.", e, retry_after)
+            sleep(retry_after)
+            continue
+        if response.status_code in (500, 502, 503, 504):
+            log.error("Service unavailable (HTTP Code %d). Sleeping for %d seconds.", response.status_code, retry_after)
+            sleep(retry_after)
+            continue
+        if response.status_code == 429:
+            if 'retry-after' in response.headers:
+                retry_after = int(response.headers['retry-after'])
+            log.error("Too Many Requests (429). Sleeping for %d seconds", retry_after)
+            sleep(retry_after)
+            continue
+        response.raise_for_status()  # Raise any non-success status code
+        return response.json()  # Return the JSON result if successful
+
+    raise Exception(f"No result after {max_retries} retries.")
+
+
+def get_results_to_df( query):
+    results = execute_sparql_query(query)
+    df = pd.DataFrame(results["results"]["bindings"])
+    df = df.map(lambda x: x['value'] if pd.notnull(x) else None)
+    return df
+
+fashion_collection_images_question = Template("Images of collections produced by $x")
+fashion_collection_images_query = Template("""
+PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?statement ?fashion_collectionLabel ?image_url ?reference_URL 
+  ?fashion_seasonLabel (YEAR(?fashion_year) AS ?year) ?categoryLabel WHERE {
+    { ?fashion_house  rdfs:label $x@en.}  # Match label
+  UNION
+  { ?fashion_house  skos:altLabel $x@en. }  # Match alias   
+                                           
+  
+  ?fashion_house p:P31 ?statement.
+  ?statement ps:P31 ?fashion_collection.
+  OPTIONAL { ?fashion_collection wbt:P32 ?fashion_season. }
+  OPTIONAL {?fashion_collection wbt:P28 ?fashion_year.}
+  OPTIONAL {?fashion_collection wbt:P38 ?category.}
+  
+  OPTIONAL {
+    ?statement pq:P35 ?image_url.
+  }
+
+                                                
+  OPTIONAL {
+    ?statement prov:wasDerivedFrom ?reference.
+    ?reference pr:P24 ?reference_URL. 
+  }
+
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } }
+                                           """)
+
+year_designers_birth_question = Template("Which designers were born in $x?")
+year_designers_birth_query = Template("""
+PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
+
+SELECT ?designerLabel ?birthdate  WHERE {
+  ?designer wbt:P3 ?birthdate .
+  FILTER (YEAR(?birthdate) = $x)
+
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+} """)
+
+fashion_house_directors_question = Template("Which designers have been creative directors of $x ?")
+fashion_house_directors_query = Template("""
+PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT 
+?creative_directorLabel (COALESCE(YEAR(?start_time), YEAR(?point_time), YEAR(?inception)) AS ?start_year)
+  (YEAR(?end_time) AS ?end_year) ?title ?statement ?reference_URL_source
+WHERE {
+  # Fashion house identified by brand name
+  ?fashion_house wbt:P2 wb:Q1.                                       
+    { ?fashion_house rdfs:label $x@en.}  # Match label
+  UNION
+  { ?fashion_house skos:altLabel $x@en. }  # Match alias   
+  
+  # Link through designer employed (P29) property for the fashion house  - the property for designer employment is P10
+  {
+    ?fashion_house p:P29 ?statement.
+    ?statement ps:P29 ?creative_director.
+
+    # Optional qualifiers for P29 regarding the time frame
+    OPTIONAL { ?statement pq:P15 ?start_time. }
+    OPTIONAL { ?statement pq:P28 ?point_time. } 
+    OPTIONAL { ?statement pq:P16 ?end_time. }
+    OPTIONAL { ?statement pq:P25 ?title. }
+    OPTIONAL { ?fashion_house wbt:P11 ?inception. } 
+
+    
+    # Retrieve references for P29
+    OPTIONAL {
+      ?statement prov:wasDerivedFrom ?reference.
+      ?reference pr:P24 ?reference_URL.
+      BIND(
+        IF(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt"), ?reference_URL, "") AS ?reference_URL_model
+      )
+      BIND(
+        IF(!(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt")), ?reference_URL, "") AS ?reference_URL_source
+      )
+    }
+  }
+  UNION
+  # Link through founded_by (P14) property for the fashion house
+  {
+    ?fashion_house p:P14 ?statement.
+    ?statement ps:P14 ?creative_director.
+
+    # Optional qualifiers for P14 (start_year as inception)
+    OPTIONAL { ?statement pq:P15 ?start_time. }
+    OPTIONAL { ?statement pq:P28 ?point_time. } 
+    OPTIONAL { ?statement pq:P16 ?end_time. }
+    OPTIONAL { ?statement pq:P25 ?title. }
+ 
+    
+    # Retrieve references for P14
+    OPTIONAL {
+      ?statement prov:wasDerivedFrom ?reference.
+      ?reference pr:P24 ?reference_URL.
+      BIND(
+        IF(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt"), ?reference_URL, "") AS ?reference_URL_model
+      )
+      BIND(
+        IF(!(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt")), ?reference_URL, "") AS ?reference_URL_source
+      )
+    }
+  }
+
+  # Filter for relevant titles (creative director, founder, etc.) to retrieve relevant employment as creative director
+  FILTER (
+    REGEX(?title, "director", "i") || 
+    REGEX(?title, "head designer", "i") ||
+    REGEX(?title, "chief", "i") ||
+    REGEX(?title, "founder", "i")                                   
+  )
+  FILTER(?reference_URL_source != "")
+  # Retrieve labels
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}   ORDER BY ?start_year """)
+
+
+
+designer_fashion_house_directors_question = Template("In which fashion house did $x work as a creative director?")
+designer_fashion_house_directors_query = Template("""  
+PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?fashion_houseLabel 
+       (COALESCE(YEAR(?start_time), YEAR(?point_time), YEAR(?inception)) AS ?start_year) 
+       (YEAR(?end_time) AS ?end_year) 
+       ?title ?reference_URL_source ?statement 
+WHERE {
+   # Designer linked to fashion house through roles or founded_by
+    ?fashion_designer wbt:P2 wb:Q5.                                              
+     { ?fashion_designer  rdfs:label $x@en.}  # Match label
+  UNION
+  { ?fashion_designer  skos:altLabel $x@en. }  # Match alias   
+   
+   # Link through employer (P10)
+   ?fashion_designer p:P10 ?statement.
+   ?statement ps:P10 ?fashion_house.
+  
+   # Optional start and end time qualifiers for roles
+   OPTIONAL { ?statement pq:P15 ?start_time. }
+   OPTIONAL { ?statement pq:P28 ?point_time. } 
+   OPTIONAL { ?statement pq:P16 ?end_time. }
+   OPTIONAL { ?statement pq:P25 ?title. }
+
+   # Inception as fallback for start year
+   OPTIONAL { ?fashion_house wbt:P11 ?inception. }
+
+   # Filter for relevant roles (director, founder, etc.)
+   FILTER (
+       REGEX(?title, "director", "i") || 
+       REGEX(?title, "head designer", "i") ||
+       REGEX(?title, "chief","i") ||
+       REGEX(?title, "founder","i")                                   
+   )
+  
+   # Retrieve references for the statement
+    OPTIONAL {
+      ?statement prov:wasDerivedFrom ?reference.
+      ?reference pr:P24 ?reference_URL.
+      BIND(
+        IF(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt"), ?reference_URL, "") AS ?reference_URL_model
+      )
+      BIND(
+        IF(!(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt")), ?reference_URL, "") AS ?reference_URL_source
+      )
+    }
+  FILTER(?reference_URL_source != "")
+
+   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+}
+""")
+
+
+designer_fashion_director_question2 = Template("In which fashion house did $x work as a creative director?")
+designer_fashion_director_query2 = Template("""PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT 
+?fashion_houseLabel ?creative_directorLabel (COALESCE(YEAR(?start_time), YEAR(?point_time), YEAR(?inception)) AS ?start_year)  (YEAR(?end_time) AS ?end_year) ?title ?statement ?reference_URL_source
+WHERE {
+  # Fashion designer identified by name
+  ?creative_director wbt:P2 wb:Q5.                                       
+    { ?creative_director  rdfs:label $x@en.}  # Match label
+  UNION
+  { ?creative_director  skos:altLabel $x@en. }  # Match alias   
+
+  # Link through designer employed (P29) property for the fashion house  - the property for designer employment is P30
+  {
+    ?fashion_house p:P29 ?statement.
+    ?statement ps:P29 ?creative_director.
+
+    # Optional qualifiers for P29 regarding the time frame
+    OPTIONAL { ?statement pq:P15 ?start_time. }
+    OPTIONAL { ?statement pq:P28 ?point_time. } 
+    OPTIONAL { ?statement pq:P16 ?end_time. }
+    OPTIONAL { ?statement pq:P25 ?title. }
+    OPTIONAL { ?fashion_house wbt:P11 ?inception. } 
+
+    
+    # Retrieve references for P29
+    OPTIONAL {
+      ?statement prov:wasDerivedFrom ?reference.
+      ?reference pr:P24 ?reference_URL.
+      BIND(
+        IF(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt"), ?reference_URL, "") AS ?reference_URL_model
+      )
+      BIND(
+        IF(!(CONTAINS(STR(?reference_URL), "ollama") || CONTAINS(STR(?reference_URL), "gpt")), ?reference_URL, "") AS ?reference_URL_source
+      )
+    }
+  }
+  FILTER (
+    REGEX(?title, "director", "i") || 
+    REGEX(?title, "head designer", "i") ||
+    REGEX(?title, "chief", "i") ||
+    REGEX(?title, "founder", "i")                                   
+  )
+  FILTER(?reference_URL_source != "")
+
+  # Retrieve labels
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}   ORDER BY ?start_year """)
+
+country_designer_question = Template("Which designers are from $x ?")
+country_designer_query = Template("""PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?fashion_designerLabel   (SAMPLE(?statement) AS ?statement)  
+  (SAMPLE(?reference_URL) AS ?reference_URL) WHERE {
+  # Restrict to designers who are instances of fashion designer (Q5)
+
+  ?fashion_designer wbt:P2 wb:Q5.
+
+  # Access the statement for the country relationship
+  ?fashion_designer p:P6 ?statement.
+  ?statement ps:P6 ?country.
+    { ?country  rdfs:label $x@en.}  # Match label
+  UNION
+  { ?country skos:altLabel $x@en. }  # Match alias   
+
+  # Retrieve references from the statement
+  OPTIONAL {
+    ?statement prov:wasDerivedFrom ?reference.
+    ?reference pr:P24 ?reference_URL.
+  }
+
+  # Retrieve labels for the fashion designer
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+} 
+GROUP BY ?fashion_designerLabel 
+ORDER BY ?fashion_designerLabel """)
+
+country_designer_query = Template("""PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?fashion_designerLabel (SAMPLE(?reference_URL) AS ?reference_URL) {
+  # Restrict to designers who are instances of fashion designer (Q5)
+
+  ?fashion_designer wbt:P2 wb:Q5.
+  ?fashion_designer wbt:P6 ?country.
+  ?fashion_designer p:P6 ?statement.
+    { ?country  rdfs:label $x@en.}  # Match label
+  UNION
+  { ?country  skos:altLabel $x@en. }  # Match alias   
+ 
+
+  # Retrieve references from the statement
+  OPTIONAL {
+    ?statement prov:wasDerivedFrom ?reference.
+    ?reference pr:P24 ?reference_URL.
+  }
+
+  # Retrieve labels for the fashion designer
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+} 
+GROUP BY ?fashion_designerLabel 
+ORDER BY ?fashion_designerLabel  """)
+
+
+designer_order_fashion_collection_question = Template("Which fashion collections did $x work on?")
+designer_order_fashion_collection_query = Template("""PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?fashion_houseLabel 
+       (COALESCE(YEAR(?start_time), YEAR(?point_time), YEAR(?inception)) AS ?start_year) 
+       (YEAR(?end_time) AS ?end_year) 
+       ?title ?reference_URL_source ?statement ?fashion_collectionLabel ?image_url 
+      (YEAR(?fashion_year) as ?year ) ?fashion_seasonLabel ?categoryLabel WHERE {
+   # Designer linked to fashion house through roles or founded_by
+   ?fashion_designer wbt:P2 wb:Q5. 
+  { ?fashion_designer  rdfs:label $x@en.}  # Match label
+  UNION
+  { ?fashion_designer  skos:altLabel $x@en. }  # Match alias                                               
+                                            
+   
+   # Link through "creative director" or other roles
+   ?fashion_designer p:P10 ?statement_designer.
+   ?statement_designer ps:P10 ?fashion_house.
+   OPTIONAL { ?statement_designer pq:P15 ?start_time. }
+   OPTIONAL { ?statement_designer pq:P28 ?point_time. } 
+   OPTIONAL { ?statement_designer pq:P16 ?end_time. }
+   OPTIONAL { ?statement_designer pq:P25 ?title. }   
+    OPTIONAL { ?fashion_house wbt:P11 ?inception. }    
+    FILTER (
+       REGEX(?title, "director", "i") || 
+       REGEX(?title, "head designer", "i") ||
+       REGEX(?title, "chief","i") ||
+       REGEX(?title, "founder","i")                                   
+   )       
+  
+    ?fashion_house p:P31 ?statement.
+  ?statement ps:P31 ?fashion_collection.
+  OPTIONAL {?fashion_collection wbt:P28 ?fashion_year.}
+    OPTIONAL { ?fashion_collection wbt:P32 ?fashion_season. }
+  OPTIONAL {?fashion_collection wbt:P38 ?category.}
+  
+  OPTIONAL {?statement pq:P35 ?image_url.}
+  OPTIONAL {?statement pq:P37 ?fashion_date.}
+  
+ 
+    # Use the adjusted fashion year in the FILTER condition
+FILTER(
+    (YEAR(?start_time) <= YEAR(?fashion_year) && (!BOUND(?end_time) || YEAR(?end_time) >= YEAR(?fashion_year))) ||
+    (YEAR(?point_time) <= YEAR(?fashion_year)) ||
+    (REGEX(?title, "founder", "i") && YEAR(?inception) <= YEAR(?fashion_year))
+)
+
+   # Retrieve references for the statement
+   OPTIONAL {
+     ?statement prov:wasDerivedFrom ?reference.
+     ?reference pr:P24 ?reference_URL_source.
+   }
+
+   SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+} ORDER BY ?year """)
+
+
+education_most_popular_question = "What are the most popular educational institutions for fashion designers?"
+education_most_popular_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?schoolLabel (COUNT(?fashion_designer) AS ?designer_count) WHERE {
+  # Retrieve all fashion designers and their schools
+  ?fashion_designer wbt:P9 ?school.
+  
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}
+GROUP BY ?schoolLabel
+ORDER BY DESC(?designer_count) """
+
+brands_founded_question = Template("Which fashion houses were founded in $x")
+brands_founded_query = Template(""" PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+
+SELECT ?fashion_houseLabel ?inception 
+WHERE {
+    ?fashion_house wbt:P2 wb:Q1.
+    ?fashion_house wbt:P11 ?inception.
+
+    
+    FILTER(YEAR(?inception) = $x)
+    
+    SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}""")
+
+how_many_directors_per_fashion_house_question = "How many designers have worked for each fashion house as creative directors?"
+how_many_directors_per_fashion_house_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?fashion_houseLabel (COUNT(DISTINCT ?fashion_designer) AS ?creative_director_count) WHERE {
+  # Match fashion houses linked to designers via employer property
+  ?fashion_designer p:P10 ?statement.
+  ?statement ps:P10 ?fashion_house.
+  
+  # Filter for roles related to creative direction
+  OPTIONAL { ?statement pq:P25 ?title. }
+  FILTER (
+    REGEX(?title, "creative director", "i") || 
+    REGEX(?title, "head designer", "i") ||
+    REGEX(?title, "chief", "i") ||
+    REGEX(?title, "founder", "i")
+  )
+  
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}
+GROUP BY ?fashion_houseLabel
+ORDER BY DESC(?creative_director_count)
+"""
+
+how_many_designers_per_fashion_house_question = "How many designers have worked for each fashion house?"
+how_many_designers_per_fashion_house_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?fashion_houseLabel (COUNT(?designer) AS ?designer_count) WHERE {
+  ?fashion_house wbt:P29 ?designer .
+
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}
+GROUP BY ?fashion_houseLabel
+ORDER BY DESC(?designer_count) """
+
+
+designers_multiple_houses_question = "Which designers have worked for more than one fashion house?"
+designers_multiple_houses_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?designerLabel WHERE {
+  ?designer wbt:P10 ?house .
+  ?designer wbt:P10 ?anotherHouse .
+SERVICE wikibase:label { bd:serviceParam wikibase:language 'en'. } 
+ }
+GROUP BY ?designerLabel
+HAVING (COUNT(?house) > 1)"""
+
+award_question = "Which designers won which awards?"
+award_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?designerLabel ?awardLabel WHERE {
+  ?designer wbt:P18 ?award .
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}"""
+
+fashion_houses_with_collections_question ="Which distinct fashion houses have at least a fashion collection?"
+fashion_houses_with_collections_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT DISTINCT ?houseLabel WHERE {
+  ?house wbt:P31 ?collection .
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+} """
+
+popular_year_inception_question = "In which years were the most fashion houses founded?"
+popular_year_inception_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+
+SELECT ?year_inception (COUNT(DISTINCT ?fashion_house) AS ?count)
+WHERE {
+  ?fashion_house wbt:P11 ?year.
+  BIND(YEAR(?year) AS ?year_inception)
+}
+GROUP BY ?year_inception
+ORDER BY DESC(?count) """
+
+
+longest_serving_director_question = "Which fashion houses have had the longest-serving creative director?"
+longest_serving_director_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>
+PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
+PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
+
+SELECT ?fashion_houseLabel ?duration ?designerLabel
+WHERE {
+  ?fashion_house p:P29 ?statement.
+  ?statement ps:P29 ?designer.
+  OPTIONAL { ?statement pq:P15 ?startTime. }
+  OPTIONAL { ?statement pq:P16 ?endTime. }
+
+  # Ensure we only calculate when both dates exist
+  FILTER(BOUND(?startTime) && BOUND(?endTime))
+
+  # Compute duration safely
+  BIND(YEAR(?endTime) - YEAR(?startTime) AS ?duration)
+
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } 
+}
+ORDER BY DESC(?duration)"""
+
+houses_most_collections_question = "Which fashion houses have the most collections recorded in the database?"
+houses_most_collections_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?fashionHouseLabel (COUNT(?collection) AS ?collection_count) WHERE {
+  ?fashionHouse wbt:P31 ?collection .
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}
+GROUP BY ?fashionHouseLabel
+ORDER BY DESC(?collection_count)"""
+
+
+collections_sustainability_theme_question = "Which collections include sustainability as a key theme?"
+collections_sustainability_theme_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?collectionLabel ?fashion_houseLabel ?reference_URL WHERE {
+  ?fashion_house p:P31 ?statement.
+  ?statement ps:P31 ?collection.
+  ?statement pq:P34 ?description .
+  FILTER (regex(?description, "sustainability", "i"))
+     # Retrieve references for the statement
+   OPTIONAL {
+     ?statement prov:wasDerivedFrom ?reference.
+     ?reference pr:P24 ?reference_URL.
+   }
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}  """ 
+
+
+collections_jeans_question = "Which collections showcase products made with jeans?"
+collections_jeans_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?collectionLabel ?fashion_houseLabel ?reference_URL WHERE {
+  ?fashion_house p:P31 ?statement.
+  ?statement ps:P31 ?collection.
+  ?statement pq:P34 ?description .
+  FILTER (regex(?description, "jeans", "i"))
+     # Retrieve references for the statement
+   OPTIONAL {
+     ?statement prov:wasDerivedFrom ?reference.
+     ?reference pr:P24 ?reference_URL.
+   }
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+}  """ 
+
+
+creative_directors_school_question = "To which school went most designers who later became creative directors of fashion houses?"
+creative_directors_school_query = """ PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?schoolLabel (COUNT(DISTINCT ?designer) AS ?designer_count) WHERE {
+  ?designer p:P10 ?fashion_house .
+
+     OPTIONAL { ?fashion_house pq:P25 ?title. }
+  FILTER (
+    REGEX(?title, "creative director", "i") || 
+    REGEX(?title, "head designer", "i") ||
+    REGEX(?title, "chief", "i") ||
+    REGEX(?title, "founder", "i")
+  )
+  
+  OPTIONAL { ?designer wbt:P9 ?school . }
+SERVICE wikibase:label { bd:serviceParam wikibase:language 'en'. } 
+ }
+GROUP BY ?schoolLabel
+ORDER BY DESC(?designer_count)"""
+
+fashion_houses_thematic_collection_question = "Which fashion houses had collections with a sustainability theme, and how many of them?"
+fashion_houses_thematic_collection_query = """PREFIX wbt: <https://fashionwiki.wikibase.cloud/prop/direct/>
+PREFIX wb: <https://fashionwiki.wikibase.cloud/entity/>
+PREFIX pq: <https://fashionwiki.wikibase.cloud/prop/qualifier/>  
+PREFIX pr: <https://fashionwiki.wikibase.cloud/prop/reference/>
+PREFIX ps: <https://fashionwiki.wikibase.cloud/prop/statement/> 
+PREFIX p: <https://fashionwiki.wikibase.cloud/prop/> 
+PREFIX prov: <http://www.w3.org/ns/prov#>  
+
+SELECT ?fashion_houseLabel (COUNT(DISTINCT ?collection) AS ?collection_count) WHERE {
+  ?fashion_house p:P31 ?statement.
+  ?statement ps:P31 ?collection.
+  ?statement pq:P34 ?description .
+  FILTER (regex(?description, "sustainability", "i"))
+     # Retrieve references for the statement
+   OPTIONAL {
+     ?statement prov:wasDerivedFrom ?reference.
+     ?reference pr:P24 ?reference_URL.
+   }
+  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
+} GROUP BY ?fashion_houseLabel
+ORDER BY DESC(?collection_count) """
+
+
+questions_queries_dict = [ { "question": education_most_popular_question, "query": education_most_popular_query},
+                          { "question": how_many_designers_per_fashion_house_question, "query": how_many_designers_per_fashion_house_query},
+                           {"question": how_many_directors_per_fashion_house_question, "query": how_many_directors_per_fashion_house_query}, 
+                           {"question": designers_multiple_houses_question, "query":designers_multiple_houses_query }, 
+                           {"question": award_question, "query": award_question},
+                           {"question": fashion_houses_with_collections_question, "query": fashion_houses_with_collections_query},
+                           {"question": popular_year_inception_question, "query": popular_year_inception_query},
+                           {"question": longest_serving_director_question, "query": longest_serving_director_query},
+                           {"question": houses_most_collections_question, "query": houses_most_collections_query},
+                           {"question": collections_sustainability_theme_question, "query": collections_sustainability_theme_query},
+                           ]
+
+questions_queries_dict_entity = [{"question": fashion_house_directors_question.substitute({ "x": f"{"Chanel"}"}), "query": fashion_house_directors_query},
+                          { "question": designer_fashion_house_directors_question.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_fashion_house_directors_query},
+                          { "question": country_designer_question.substitute({ "x": f"{"Italy"}"}), "query": country_designer_query},
+                          { "question": designer_order_fashion_collection_question.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_order_fashion_collection_query},
+                          { "question": designer_fashion_director_question2.substitute({ "x": f"{"Alexander McQueen"}"}), "query": designer_fashion_director_query2},
+                          { "question": year_designers_birth_question.substitute({ "x": f"{"1970"}"}), "query": year_designers_birth_query}]
+
+
+# Designers
+designers_born_in_year_question = "Which designers were born in year $x?"
+creative_directors_of_house_question = "Which designers have been creative directors of $x?"
+designers_multiple_houses_question = "Which designers have worked for more than one fashion house?"
+educated_at_school_question = "Which designers were educated at $x fashion school?"
+won_award_question = "Which designers have won the $x award?"
+launched_own_label_question = "Which designers launched their own fashion label?"
+worked_at_x_between_years_question = "Which designers worked at $x between year $y and $z?"
+designers_multiple_collaborations_question = "Which designers have collaborated with multiple fashion houses?"
+designers_lived_in_city_question = "Which designers have lived in $x city?"
+designers_active_decade_question = "Which designers were active during the $x decade?"
+
+# Fashion Houses
+designers_worked_for_house_question = "Which designers have worked for fashion house $x?"
+creative_directors_per_house_question = "How many designers have worked for each fashion house as creative directors?"
+houses_founded_in_year_question = "Which fashion houses were founded in year $x?"
+houses_most_director_changes_question = "Which fashion houses have undergone the most creative director changes?"
+longest_serving_director_question = "Which fashion houses have had the longest-serving creative director?"
+houses_collaborations_question = "Which fashion houses have collaborated with other fashion houses or brands?"
+houses_haute_couture_question = "Which fashion houses have produced haute couture collections?"
+houses_active_decade_question = "Which fashion houses were active during the $x decade?"
+houses_most_collections_question = "Which fashion houses have the most collections recorded in the database?"
+
+# Fashion Collections
+designer_worked_on_collections_question = "Which fashion collections did $x work on?"
+collections_inspired_by_theme_question = "Which fashion house produced a collection inspired by $x theme?"
+collections_high_critical_acclaim_question = "Which collections received the highest critical acclaim?"
+collections_historical_references_question = "Which collections feature references to historical fashion styles?"
+collections_sustainability_theme_question = "Which collections include sustainability as a key theme?"
+collections_per_house_per_year_question = "How many collections did each fashion house produce in year $x?"
+collections_avant_garde_question = "Which collections have been described as avant-garde?"
+collections_stylistic_similarity_question = "Which collections share stylistic similarities with $x?"
+collections_evolution_over_time_question = "How has the style of $x fashion house evolved over the years?"
+collections_shown_at_fashion_week_question = "Which collections were showcased at $x fashion week?"
+
+# Designers & Fashion Houses
+studied_then_director_question = "Which designers who studied at $x fashion school later became creative directors at $y fashion house?"
+worked_at_both_houses_question = "Which designers have worked at both $x and $y fashion houses?"
+launched_label_after_working_question = "Which designers who launched their own fashion labels had previously worked at $x fashion house?"
+won_award_then_worked_question = "Which designers who won the $x award also worked for $y fashion house?"
+lived_in_city_and_director_question = "Which designers who lived in $x city have worked as creative directors for $y fashion house?"
+worked_for_three_houses_question = "Which designers have worked for at least three different fashion houses during their career?"
+designed_for_two_brands_same_year_question = "Which designers who were creative directors at $x fashion house also designed collections for another brand in the same year?"
+creative_director_and_label_founder_question = "Which designers were both fashion house creative directors and independent label founders at the same time?"
+collaborated_with_two_houses_question = "Which designers have collaborated with both $x and $y fashion houses?"
+worked_at_x_before_y_question = "Which designers worked at $x fashion house before moving to $y?"
+
+# Designers & Collections
+designed_for_multiple_houses_same_season_question = "Which designers have designed collections for multiple fashion houses in the same season?"
+couture_and_ready_to_wear_question = "Which designers who specialized in haute couture have also designed ready-to-wear collections?"
+similar_theme_collections_question = "Which designers who worked on $x collection had previously worked on a similar-themed collection for another brand?"
+award_winner_inspired_by_history_question = "Which designers who have won an award have produced a collection inspired by $x historical period?"
+alma_mater_referenced_in_collection_question = "Which designers who studied at $x school designed a collection that referenced their alma mater?"
+
+# Fashion Houses & Collections
+same_historical_period_collections_question = "Which fashion houses have produced collections inspired by the same historical period?"
+collaborations_with_artists_question = "Which fashion houses have produced collections featuring collaborations with artists from $x field (e.g., photography, sculpture, film)?"
+change_director_different_collection_question = "Which fashion houses have changed creative directors and immediately released a significantly different collection?"
+avant_garde_and_minimalist_question = "Which fashion houses have produced both avant-garde and minimalist collections?"
+inspired_by_other_brands_question = "Which fashion houses have produced a collection inspired by a previous designer’s work from another brand?"
+
+# Multi-Category (Designers, Houses, Collections)
+designer_worked_house_then_influenced_question = "Which designers who worked for $x fashion house also designed a collection influenced by $y movement?"
+designer_lived_in_city_referenced_collection_question = "Which designers who lived in $x city during year $y produced a collection with references to that place?"
+multiple_designers_same_collection_question = "Which fashion houses have had at least three designers contribute to the same collection?"
+worked_elsewhere_during_collection_question = "Which collections were created by a designer who was also working at another fashion house at the time?"
+education_influenced_collection_question = "Which fashion collections were influenced by a designer’s education at $x fashion school?"
+
+# Designers & Fashion Houses
+studied_then_director_question = "Which designers who studied at $x fashion school later became creative directors at $y fashion house?"
+worked_at_both_houses_question = "Which designers have worked at both $x and $y fashion houses?"
+launched_label_after_working_question = "Which designers who launched their own fashion labels had previously worked at $x fashion house?"
+won_award_then_worked_question = "Which designers who won the $x award also worked for $y fashion house?"
+lived_in_city_and_director_question = "Which designers who lived in $x city have worked as creative directors for $y fashion house?"
+worked_for_three_houses_question = "Which designers have worked for at least three different fashion houses during their career?"
+designed_for_two_brands_same_year_question = "Which designers who were creative directors at $x fashion house also designed collections for another brand in the same year?"
+creative_director_and_label_founder_question = "Which designers were both fashion house creative directors and independent label founders at the same time?"
+collaborated_with_two_houses_question = "Which designers have collaborated with both $x and $y fashion houses?"
+worked_at_x_before_y_question = "Which designers worked at $x fashion house before moving to $y?"
+
+# Designers & Collections
+designed_for_multiple_houses_same_season_question = "Which designers have designed collections for multiple fashion houses in the same season?"
+couture_and_ready_to_wear_question = "Which designers who specialized in haute couture have also designed ready-to-wear collections?"
+similar_theme_collections_question = "Which designers who worked on $x collection had previously worked on a similar-themed collection for another brand?"
+award_winner_inspired_by_history_question = "Which designers who have won an award have produced a collection inspired by $x historical period?"
+alma_mater_referenced_in_collection_question = "Which designers who studied at $x school designed a collection that referenced their alma mater?"
+
+# Fashion Houses & Collections
+same_historical_period_collections_question = "Which fashion houses have produced collections inspired by the same historical period?"
+collaborations_with_artists_question = "Which fashion houses have produced collections featuring collaborations with artists from $x field (e.g., photography, sculpture, film)?"
+change_director_different_collection_question = "Which fashion houses have changed creative directors and immediately released a significantly different collection?"
+avant_garde_and_minimalist_question = "Which fashion houses have produced both avant-garde and minimalist collections?"
+inspired_by_other_brands_question = "Which fashion houses have produced a collection inspired by a previous designer’s work from another brand?"
+
+# Multi-Category (Designers, Houses, Collections)
+designer_worked_house_then_influenced_question = "Which designers who worked for $x fashion house also designed a collection influenced by $y movement?"
+designer_lived_in_city_referenced_collection_question = "Which designers who lived in $x city during year $y produced a collection with references to that place?"
+multiple_designers_same_collection_question = "Which fashion houses have had at least three designers contribute to the same collection?"
+worked_elsewhere_during_collection_question = "Which collections were created by a designer who was also working at another fashion house at the time?"
+education_influenced_collection_question = "Which fashion collections were influenced by a designer’s education at $x fashion school?"
+
+
+

src1/visual_qa.py

@@ -0,0 +1,128 @@
+
+import json
+import pandas as pd
+from transformers import CLIPProcessor, CLIPModel
+import torch
+import os
+os.environ["TOKENIZERS_PARALLELISM"] = "false"
+
+import pandas as pd
+import chromadb
+import os
+from transformers import CLIPProcessor, CLIPModel
+import torch
+from datetime import datetime
+from datasets import load_dataset
+
+
+def initialize_collection(collection_name="clip_image_embeddings"):
+    # Initialize ChromaDB client (PersistentClient stores embeddings between runs)
+    client = chromadb.PersistentClient(path="./chroma_db")  # Change path if needed
+
+    # Get a list of existing collection names
+    existing_collections = [col for col in client.list_collections()]  # v0.6.0 change
+
+    if collection_name in existing_collections:
+        collection = client.get_collection(name=collection_name)
+        print(f"Using existing collection: {collection_name}")
+    else:
+        collection = client.create_collection(name=collection_name)
+
+    return collection
+
+
+
+
+def main_create_image_collection(df_emb, collection_name="clip_image_embeddings"):
+    documents = []
+    embeddings_all = df_emb["fashion_clip_image"].tolist()
+
+    for i in range(len(df_emb)):
+        if i >= len(df_emb["image_url"]):
+            print(f"Index {i} out of range for image_url column")
+            continue
+
+        image_url = df_emb["image_url"].iloc[i]
+        if image_url is not None:
+            documents.append(image_url)
+        else:
+            documents.append(None)
+
+    collection = initialize_collection(collection_name)
+
+    for i, d in enumerate(documents):
+        embeddings = embeddings_all[i]
+        embedding_id = str(i)  # Convert index to string
+
+        if embeddings is None:
+            continue  # Skip if no embedding
+
+        # Check if ID already exists
+        existing_entry = collection.get(ids=[embedding_id])
+
+        if existing_entry and existing_entry["ids"]:  # If the ID is found, skip adding
+            continue
+
+        collection.add(
+            ids=[embedding_id],
+            embeddings=embeddings,
+            documents=[d]
+        )
+
+    return collection
+
+
+
+model_name = "patrickjohncyh/fashion-clip"
+device = "mps"
+model = CLIPModel.from_pretrained(model_name).to(device)
+processor = CLIPProcessor.from_pretrained(model_name)
+
+def main_text_retrieve_images(text, result_query=None, n_retrieved=5):
+    #df_emb = pd.read_json("data/fashion_show_data_all_embeddings.json", lines=True)
+
+    dataset = load_dataset("traopia/fashion_show_data_all_embeddings.json")
+    # This returns a DatasetDict with splits as keys (usually 'train' by default).
+    # To get the whole dataset, you can access the first split like this:
+    split_name = list(dataset.keys())[0]
+    full_dataset = dataset[split_name]
+
+    # Convert to pandas DataFrame
+    df_emb = full_dataset.to_pandas()
+    df_emb = df_emb.drop_duplicates(subset='image_urls')
+    df_emb['fashion_clip_image'] = df_emb['fashion_clip_image'].apply(lambda x: x[0] if type(x) == list else None)
+    df_emb['image_url'] = df_emb['image_urls'].apply(lambda x: x[0] if x else None)
+    df_emb = df_emb.drop_duplicates(subset='image_url')
+
+    #print("DataFrame head:", df_emb.head())  # Debugging statement
+
+    if result_query:
+        df_small = pd.DataFrame(result_query, columns=["image_url"])
+        df_filtered = df_emb.merge(df_small[['image_url']], on='image_url', how='inner')
+        df_emb = df_filtered
+        # Generate a collection name based on the current timestamp
+        collection_name = f"collection_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
+        collection = main_create_image_collection(df_emb, collection_name=collection_name)
+    else:
+        collection = main_create_image_collection(df_emb)
+
+    inputs = processor(text=[text], return_tensors="pt", padding=True, truncation=True, max_length=77).to(device)
+
+    with torch.no_grad():
+        text_features = model.get_text_features(**inputs).cpu().numpy()  # Should work without crashing
+
+    results = collection.query(
+        query_embeddings=text_features[0],
+        n_results=n_retrieved
+    )
+    #print(results)
+    result_doc = pd.DataFrame(results['documents'][0], columns=["image_url"])
+    df_result = df_emb.merge(result_doc[['image_url']], on='image_url', how='inner')
+    # Remove columns fashion_clip_image, image_urls, and description
+    df_result = df_result.drop(columns=['fashion_clip_image', 'description', 'editor', 'publish_date', 'image_urls'])
+    return df_result.to_dict(orient='records')
+
+if __name__ == "__main__":
+    text = "dress"
+    result = main_text_retrieve_images(text)
+    print(result)