Upload app.py with huggingface_hub

app.py

@@ -484,11 +484,8 @@ def filter_input_with_llama_guard(user_input, model="meta-llama/llama-guard-4-12
             model=model,
         )
         # Return the filtered input
-        st.write(response);
-        st.write(response.choices[0].message.content.strip());
         return response.choices[0].message.content.strip()
     except Exception as e:
-        st.write(f"Error with Llama Guard: {e}");
         print(f"Error with Llama Guard: {e}")
         return None
 
@@ -700,7 +697,6 @@ def nutrition_disorder_streamlit():
 
             # Filter input using Llama Guard
             filtered_result = filter_input_with_llama_guard(user_query)
-            st.write(filtered_result)
             filtered_result = filtered_result.replace("\n", " ")  # Normalize the result
 
             # Check if input is safe based on allowed statuses