Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 import os
 import requests
-from transformers import AutoTokenizer
 
 # Define Hugging Face API details
 API_URL = "https://api-inference.huggingface.co/models/Huzaifa367/chat-summarizer"
@@ -10,8 +9,12 @@ HEADERS = {"Authorization": f"Bearer {API_TOKEN}"}
 
 # Define function to query Hugging Face API for summarization
 def query_huggingface(payload):
-    response = requests.post(API_URL, headers=HEADERS, json=payload)
-    return response.json()["summary"]
+    try:
+        response = requests.post(API_URL, headers=HEADERS, json=payload)
+        response.raise_for_status()  # Raise exception for non-2xx status codes
+        return response.json()["summary"]
+    except requests.exceptions.RequestException as e:
+        return f"Error: {e}"
 
 # Define response function for Gradio chat interface
 def respond(
@@ -42,14 +45,16 @@ def respond(
     return summary_text
 
 # Define Gradio chat interface
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
+demo = gr.Interface(
+    fn=respond,
+    inputs=[
         gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
     ],
+    outputs=gr.Textbox(label="Summary"),
+    title="Chat Summarizer",
 )
 
 # Launch the Gradio chat interface