Update app.py

app.py

@@ -1,24 +1,24 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Use Arabic-optimized model (Free for commercial use)
-client = InferenceClient("aubmindlab/aragpt2-base")  # Arabic GPT-2 model
+# Use Arabic-optimized model
+client = InferenceClient("aubmindlab/aragpt2-base")
 
 def respond(
-    message,
-    history: list[tuple[str, str]],
+    message: str,
+    history: list[list[str]],  # Updated format
     system_message="أنت مساعد مفيد يتحدث العربية",
     max_tokens=512,
     temperature=0.7,
     top_p=0.95,
 ):
     # Force Arabic responses
-    prompt = f"باللغة العربية: {message}" 
+    prompt = f"باللغة العربية: {message}"
     
+    # Format history in messages format
     messages = [{"role": "system", "content": system_message}]
     
-    # Add conversation history
-    for user_msg, bot_msg in history[-3:]:  # Limit history for mobile performance
+    for user_msg, bot_msg in history:
         if user_msg:
             messages.append({"role": "user", "content": user_msg})
         if bot_msg:
@@ -33,7 +33,7 @@ def respond(
         max_new_tokens=max_tokens,
         stream=True,
         temperature=temperature,
-        repetition_penalty=1.2,  # Reduce repetition common in Arabic dialects
+        repetition_penalty=1.2,
     ):
         response += chunk
         yield response
@@ -58,9 +58,8 @@ demo = gr.ChatInterface(
 )
 
 if __name__ == "__main__":
-    # Mobile optimization settings
+    # Correct launch parameters
     demo.launch(
-        enable_queue=True,
-        allowed_paths=["./assets"],  # For local Arabic fonts if needed
-        prevent_thread_lock=True
+        share=False,  # Set to True for temporary public link
+        auth=("user", "pass")  # Optional basic auth
     )