add skills query

app/app.py

@@ -20,7 +20,7 @@ def retrieve_documents(occupation,skills):
     output.append(f"<div style=\"text-align: center; font-size: 24px;\">Empfehlungsergebnisse:</div>")
     oc_uri = occupations.get(occupation, "")
     skill_query = ''
-    candidate_doc = []
+    candidate_docs = []
     if isinstance(oc_uri, int):
         df = pd.read_csv("/app/data/berufe_info.csv")
         target_occupation = df[df['id'] == oc_uri]
@@ -33,20 +33,20 @@ def retrieve_documents(occupation,skills):
         target_occupation_name, target_occupation_dsp, target_occupation_query = build_occupation_query(target_occupation)
     for german_label in skills:
         skill_query += german_label + ' '
-        skills_doc = retriever.get_relevant_documents(german_label)
-        candidate_doc.extend(skills_doc[:2])
+        skills_docs = retriever.get_relevant_documents(german_label)
+        candidate_docs.extend(skills_docs[:2])
     query = 'target occupation: ' + target_occupation_query + ' Skills gap:' + skill_query
     llama_query = 'info:' + target_occupation_name + ' ' + 'Skills gap:' + skill_query
     print(query)
     docs = retriever.get_relevant_documents(query)
-    candidate_doc.extend(docs[:5])
+    candidate_docs.extend(docs[:5])
 
     #remove duplicates
     seen_course_ids = set()
     candidate_doc_unique = []
 
-    for doc in candidate_doc:
-        course_id = doc.metadata.get('course_id','')
+    for doc in candidate_docs:
+        course_id = doc.metadata.get('id','')
         if course_id not in seen_course_ids:
             candidate_doc_unique.append(doc)
             seen_course_ids.add(course_id)