Update app.py

app.py

@@ -1,59 +1,11 @@
 import gradio as gr
-import requests
 
-# Define the API settings
-API_TOKEN = "YOUR_HUGGING_FACE_API_TOKEN"  # Replace with your HF token
-MODEL_URL = "https://api-inference.huggingface.co/models/meta-llama/Llama-3.3-70B-Instruct"
+# Function to serve the HTML content
+def display_html():
+    with open("index.html", "r") as file:
+        html_content = file.read()
+    return html_content
 
-# Function to fetch a response from the model
-def chat_with_model(user_input):
-    headers = {
-        "Authorization": f"Bearer {API_TOKEN}",
-        "Content-Type": "application/json",
-    }
-    payload = {
-        "inputs": user_input,
-        "parameters": {
-            "max_length": 100,
-            "temperature": 0.7,
-            "top_k": 50,
-        },
-        "options": {"wait_for_model": True},
-    }
-
-    response = requests.post(MODEL_URL, headers=headers, json=payload)
-
-    if response.status_code == 200:
-        result = response.json()
-        if result and isinstance(result, list):
-            return result[0].get("generated_text", "No response received.")
-    else:
-        return f"Error {response.status_code}: {response.text}"
-
-    return "An error occurred while generating a response."
-
-# Gradio Interface
-def chatbot(user_message):
-    # Add a system message for context
-    system_message = "You are a helpful assistant using the Llama-3.3-70B model. Respond thoughtfully."
-    full_input = f"{system_message}\nUser: {user_message}\nAssistant:"
-    return chat_with_model(full_input)
-
-# Load your HTML UI
-with open("index.html", "r") as html_file:
-    custom_html = html_file.read()
-
-# Gradio App with Custom HTML
-app = gr.Interface(
-    fn=chatbot,
-    inputs="text",
-    outputs="text",
-    title="Chatbot with Llama-3.3-70B",
-)
-
-# Add the HTML to the app
-app.launch(
-    inline=True,  # Embed the app into the HTML
-    share=True,   # Make the app shareable
-    custom_html=custom_html,  # Use the custom HTML file
-)
+# Gradio interface with custom HTML rendering
+interface = gr.Interface(
+    fn=display_html,