Update app.py

app.py

@@ -1,64 +1,66 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
+# Use Arabic-optimized model (Free for commercial use)
+client = InferenceClient("aubmindlab/aragpt2-base")  # Arabic GPT-2 model
 
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
+    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}" 
+    
     messages = [{"role": "system", "content": system_message}]
+    
+    # Add conversation history
+    for user_msg, bot_msg in history[-3:]:  # Limit history for mobile performance
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if bot_msg:
+            messages.append({"role": "assistant", "content": bot_msg})
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
+    messages.append({"role": "user", "content": prompt})
 
+    # Generate Arabic response
     response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
+    for chunk in client.text_generation(
+        prompt=prompt,
+        max_new_tokens=max_tokens,
         stream=True,
         temperature=temperature,
-        top_p=top_p,
+        repetition_penalty=1.2,  # Reduce repetition common in Arabic dialects
     ):
-        token = message.choices[0].delta.content
-
-        response += token
+        response += chunk
         yield response
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Mobile-optimized Arabic interface
 demo = gr.ChatInterface(
     respond,
     additional_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)",
-        ),
+        gr.Textbox(value="أنت مساعد عربي مفيد", label="الرسالة النظام"),
+        gr.Slider(minimum=1, maximum=512, value=256, label="الحد الأقصى للكلمات"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.5, label="الابتكار"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.9, label="الدقة"),
     ],
+    css="""
+    .gradio-container {direction: rtl;}
+    textarea {font-family: 'Amiri', serif;}
+    """,
+    examples=[
+        ["ما هو أفضل حل للزراعة في السودان؟"],  # Sudan example
+        ["كيف يمكن تطوير الذكاء الاصطناعي في السعودية؟"]  # KSA example
+    ]
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    # Mobile optimization settings
+    demo.launch(
+        enable_queue=True,
+        allowed_paths=["./assets"],  # For local Arabic fonts if needed
+        prevent_thread_lock=True
+    )