Update app.py

app.py

@@ -114,6 +114,7 @@ def generate_full_text_query(input: str) -> str:
     return full_text_query.strip()
 
 
+
 # Function to generate audio with Eleven Labs TTS
 def generate_audio_elevenlabs(text):
     XI_API_KEY = os.environ['ELEVENLABS_API']
@@ -170,8 +171,17 @@ def generate_response_with_prompt(context, question):
 
 
 
+
 # Define the function to generate a hybrid response using Neo4j and other retrieval methods
 def retriever(question: str):
+    # Generate the full-text query for Neo4j
+    full_text_query = generate_full_text_query(question)
+    
+    # If the generated query is empty, skip the Neo4j query and return a default response
+    if not full_text_query:
+        print("Empty query, skipping Neo4j search.")
+        return "I'm sorry, I didn't catch that. Could you please repeat your question?"
+
     # Structured data retrieval from Neo4j
     structured_query = f"""
     CALL db.index.fulltext.queryNodes('entity', $query, {{limit: 2}})
@@ -180,7 +190,7 @@ def retriever(question: str):
     ORDER BY score DESC
     LIMIT 2
     """
-    structured_data = graph.query(structured_query, {"query": generate_full_text_query(question)})
+    structured_data = graph.query(structured_query, {"query": full_text_query})
     structured_response = "\n".join([f"{record['entity']}: {record['context']}" for record in structured_data])
 
     # Unstructured data retrieval from vector store
@@ -194,6 +204,7 @@ def retriever(question: str):
     final_response = generate_response_with_prompt(combined_context, question)
     return final_response
 
+
 # Function to handle the entire audio query and response process
 def process_audio_query(audio_input):
     stream = None