add explanation

app/app.py

@@ -39,9 +39,6 @@ def retrieve_documents(occupation,skills):
     partial_compare_docs = functools.partial(compare_docs_with_context, df_course=df_course, target_occupation_name=target_occupation_name, target_occupation_dsp=target_occupation_dsp,skill_gap = skill_query)
     sorted_docs = sorted(docs, key=functools.cmp_to_key(partial_compare_docs), reverse=True)
 
-
-        
-
     
     batch_prompts = []
     for doc in sorted_docs[:5]:
@@ -53,22 +50,17 @@ def retrieve_documents(occupation,skills):
 
     # Evaluate the current batch of prompts
     batch_output = generate_exp(batch_prompts)
+    output.append(f"<b>Qualifikationslücke:</b> {skill_query}")
+    output.append(f"<b>Empfohlene Kurse:</b>")
     for i in range(5):
         doc = sorted_docs[i]
         doc_name = doc.metadata.get('name', 'Unnamed Document')
         doc_url = doc.metadata.get('url', '#')
         doc_skill = doc.metadata.get('skills', '')
         output.append(f"<a href='{doc_url}' target='_blank'>{doc_name}</a>") 
-        output.append(f"<b>Recommendation Explanation:</b> {batch_output[i]}")
-    output.append(f"<b>Qualifikationslücke:</b> {skill_query}")
-    output.append(f"<b>Empfohlene Kurse:</b>")
-    for doc in sorted_docs[:5]:
-        doc_name = doc.metadata.get('name', 'Unnamed Document')
-        doc_url = doc.metadata.get('url', '#')
-        output.append(f"<a href='{doc_url}' target='_blank'>{doc_name}</a>") 
-        input_text = f"target occupation: {target_occupation_query}\n courses: name: {doc_name['course_name']}, learning objectives: {doc_name['skills']}"
-        prompt = generate_prompt_exp(input_text)
-        batch_prompts.append(prompt)
+        output.append(f"<b>Empfehlungsgrund:</b> {batch_output[i]}")
+    
+
     output.append(f"<br>")
     return "<br>".join(output)