Update app.py

app.py

@@ -122,9 +122,6 @@ def chat(request: ChatRequest):
     user_message = request.message
     chat_history.append(user_message)
 
-    # Retrieve relevant diagnostic question
-    relevant_question = retrieve_relevant_question(user_message)
-
     # Constructing the DeepSeek prompt
     prompt = f"""
     You are an AI psychiatrist conducting a mental health consultation.
@@ -132,7 +129,6 @@ def chat(request: ChatRequest):
 
     - Always provide a thoughtful and compassionate response.
     - If a user shares distressing emotions, acknowledge their feelings and ask relevant follow-up questions.
-    - Ask a symptom-related question to explore their concerns in depth.
 
     Previous conversation:
     {chat_history}
@@ -143,17 +139,21 @@ def chat(request: ChatRequest):
     Generate:
     - An empathetic response.
     - A related follow-up question.
-    - The most relevant diagnostic question: "{relevant_question}".
-
-    Ensure your response is always meaningful and non-empty.
+    
+    Ensure your response is meaningful and NEVER empty.
     """
 
+    # Call DeepSeek API
     ai_response = deepseek_request(prompt, max_tokens=250)
 
-    chat_history.append(ai_response)
+    # ✅ Ensure response is NEVER empty
+    if not ai_response or ai_response.strip() == "":
+        ai_response = "I'm here to listen. Can you tell me more about how you're feeling? Maybe I can help."
 
+    chat_history.append(ai_response)
     return {"response": ai_response}
 
+
 # ✅ API Endpoint: Detect Disorders from Chat History
 @app.post("/detect_disorders")
 def detect_disorders():