qol

app.py

@@ -2,16 +2,16 @@ import streamlit as st
 import requests
 import os
 
-# Load API key from Hugging Face Secrets
+# Load API key
 HF_API_KEY = os.getenv("HF_API_KEY")
 
 # Hugging Face API URL
 API_URL = "https://api-inference.huggingface.co/models/facebook/blenderbot-400M-distill"
 HEADERS = {"Authorization": f"Bearer {HF_API_KEY}"}
 
-# Streamlit UI
-st.title("🤖 Hugging Face Chatbot")
-st.write("Powered by Hugging Face Inference API")
+# App
+st.title("Chatbot")
+st.write("Using Facebook Blenderbot")
 
 # Initialize chat history
 if "messages" not in st.session_state:
@@ -25,7 +25,7 @@ for msg in st.session_state.messages:
 # User input
 user_input = st.chat_input("Ask me anything...")
 if user_input:
-    # Add user message to history
+    # Append user message to history
     st.session_state.messages.append({"role": "user", "content": user_input})
     with st.chat_message("user"):
         st.write(user_input)
@@ -34,13 +34,13 @@ if user_input:
     payload = {"inputs": user_input}
     response = requests.post(API_URL, headers=HEADERS, json=payload)
 
-    # Extract response text
+    # Extract response text, print error text.
     if response.status_code == 200:
         bot_reply = response.json()[0]["generated_text"]
     else:
-        bot_reply = "❌ Error: Could not reach the API."
+        bot_reply = "Error."
 
-    # Add bot response to history
+    # Append bot response to history
     st.session_state.messages.append({"role": "assistant", "content": bot_reply})
     with st.chat_message("assistant"):
         st.write(bot_reply)