updated app.py

Removed share=True from ChatToSequence.launch(). Share=True parameter shouldn't be active when app is ran in spaces. It caused an runtime error

app.py

@@ -9,10 +9,7 @@ from helper import list_at_index_0, list_at_index_1, logger
 
 
 def chat_to_sequence(sequence, user_query):
-    if sequence is None:
-        gr.Warning("Sequence Is Empty. Please Input A Sequence")
-    if user_query is None:
-        gr.Warning("Query Is Empty. Please Input A Query")
+    
     # Log information to a CSV file
     log_filename = "CTS_user_log.csv"
 
@@ -66,8 +63,7 @@ def chat_to_sequence(sequence, user_query):
 
     # Semantic similarity search user query against sample queries
     index_result = ref_query_ds.get_nearest_examples("all-mpnet-base-v2_embeddings", query_embedding, k=3)
-    print(index_result)
-
+    
     # Retrieve results from dataset object
     scores, examples = index_result
 
@@ -93,8 +89,7 @@ def chat_to_sequence(sequence, user_query):
     # Description of query code to be executed
     query_code_description = code_function_mapping[code_function_mapping['code'] == query_code]['description'].values[0]
 
-    # Print the query with the highest score
-    print(ref_question, query_code, query_score)
+    # Extra log entities
     similarity_metric = "k nearest neighbours"
 
     ref_question_2 = sorted_df.iloc[1]['question']
@@ -102,6 +97,7 @@ def chat_to_sequence(sequence, user_query):
     query_score_2 = sorted_df.iloc[1]['score']
     query_score_3 = sorted_df.iloc[1]['score']
 
+    # logger function log_data parameter input
     log_data = [
         user_query,
         ref_question,
@@ -116,6 +112,7 @@ def chat_to_sequence(sequence, user_query):
         proximal_lower_threshold,
         proximal_upper_threshold,
     ]
+    
     # Check the query score against threshold values
     if query_score >= proximal_upper_threshold:
         response = threshold_exceeded_message
@@ -172,4 +169,4 @@ ChatToSequence = gr.Interface(
     ],
 ).queue()
 
-ChatToSequence.launch(share=True)
+ChatToSequence.launch()