Update app.py

app.py

@@ -1,60 +1,3 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
 
-# ✅ Connect to Hugging Face API (Replace with your model or API key)
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-# ✅ AI System Prompt
-BANDAR_AI_PROMPT = "أنت مساعد ذكاء اصطناعي يدعى باندر AI."
-
-# ✅ Initialize Empty Chat History
-def initialize_history():
-    return []  # No dictionaries, only tuples later
-
-# ✅ Ensure History is Properly Formatted
-def format_history(history):
-    """Ensure history is a list of (user, assistant) tuples."""
-    return [(msg[0], msg[1]) for msg in history if len(msg) == 2]
-
-# ✅ Chat Response Function (Corrected)
-def respond(message, history):
-    history.append((message, ""))  # Append user message with empty response
-    
-    response = ""
-    for msg in client.chat_completion(
-        [{"role": "system", "content": BANDAR_AI_PROMPT}] + [{"role": "user", "content": m[0]} for m in history], 
-        max_tokens=512, stream=True, temperature=0.7, top_p=0.95
-    ):
-        token = msg.choices[0].delta.content
-        if token:
-            response += token
-            history[-1] = (message, response)  # Update last response
-            yield format_history(history)  # ✅ Send history in correct tuple format
-    
-    history[-1] = (message, response)  # Ensure final response is saved
-
-# ✅ Clear Conversation History
-def clear_history():
-    return [], []  # Reset chatbot and history
-
-# ✅ Gradio UI
-with gr.Blocks() as demo:
-    gr.Markdown("# 🧠 Bandar AI - Chatbot")
-    history = gr.State(initialize_history())
-    chatbot = gr.Chatbot()  # ✅ This will now receive tuples, not dictionaries
-    
-    with gr.Row():
-        user_input = gr.Textbox(placeholder="Type your message here...", scale=8)
-        send_button = gr.Button("Send", variant="primary", scale=2)
-    
-    with gr.Row():
-        clear_button = gr.Button("Clear Chat")
-
-    # Event Handlers
-    send_button.click(respond, inputs=[user_input, history], outputs=[chatbot, history])
-    user_input.submit(respond, inputs=[user_input, history], outputs=[chatbot, history])
-    clear_button.click(clear_history, outputs=[chatbot, history])
-
-# ✅ Run the Chatbot
-if __name__ == "__main__":
-    demo.launch()
+gr.load("models/HuggingFaceH4/zephyr-7b-beta").launch()