Update app.py

app.py

@@ -1,14 +1,14 @@
 import gradio as gr
-from embraceface_hub import InferenceClient
+import openai
 
-# Initialize the model client
-client = InferenceClient("meta-llama/Llama-3.1-8B-Instruct")
+# Set your OpenAI API key
+openai.api_key = "YOUR_API_KEY"  # Replace with your actual API key
 
 # Maximum number of messages to keep in history
 MAX_HISTORY = 10
 
 def chat_fn(message, history):
-    # Convert history to the correct format for the model
+    # Convert history to the correct format for OpenAI
     messages = []
     for user_msg, bot_msg in history[-MAX_HISTORY:]:  # Keep only the last MAX_HISTORY messages
         messages.append({"role": "user", "content": user_msg})
@@ -17,8 +17,9 @@ def chat_fn(message, history):
     # Add the new user message
     messages.append({"role": "user", "content": message})
 
-    # Call the model
-    response = client.chat_completion(
+    # Call OpenAI API
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
         messages=messages,
         max_tokens=300
     )
@@ -37,6 +38,4 @@ with gr.Blocks() as demo:
     gr.Markdown("# 💬 JuriX Chatbot")
     chatbot = gr.Chatbot()
     msg = gr.Textbox(label="Type your message here", placeholder="Enter your message...")
-    msg.submit(chat_fn, [msg, chatbot], [msg, chatbot])
-
-demo.launch()
+    msg.submit(chat_fn, [msg, chat]()_