Update app.py

app.py

@@ -14,7 +14,7 @@ embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
 
 # Initialize the HuggingFace LLM
 llm = HuggingFaceEndpoint(
-    endpoint_url="https://api-inference.huggingface.co/models/gpt2",
+    endpoint_url="https://api-inference.huggingface.co/models/gpt-3.5-turbo",  # Use a known model
     model_kwargs={"api_key": os.getenv('HUGGINGFACEHUB_API_TOKEN')}
 )
 
@@ -121,6 +121,8 @@ def query_text(text):
 
         # Query the LLM
         response = llm(prompt)
+        print(f"Prompt: {prompt}")
+        print(f"Response: {response}")
         return response
     except Exception as e:
         print(f"Error querying text: {e}")