Updated

app.py

@@ -130,13 +130,16 @@ market_llm = HuggingFaceEndpoint(
 # ==============================
 def run_conversational_model(model, prompt: str):
     """Wraps prompt into HF conversational format and extracts text"""
-    result = model.invoke({
+    payload = {
         "inputs": {
             "past_user_inputs": [],
             "generated_responses": [],
             "text": prompt
         }
-    })
+    }
+    logger.info(f"Sending to HF model: {payload}")
+    result = model.invoke(payload)
+    logger.info(f"HF raw response: {result}")
 
     if isinstance(result, dict) and "generated_text" in result:
         return result["generated_text"]
@@ -146,6 +149,7 @@ def run_conversational_model(model, prompt: str):
 
     return str(result)  # fallback
 
+
 # ==============================
 # ENDPOINTS
 # ==============================