Update app.py

app.py

@@ -1,13 +1,22 @@
 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
-"""
+# تحميل النموذج من Hugging Face
 client = InferenceClient("meta-llama/Llama-2-7b-chat-hf")
 
+# قائمة السيناريوهات
+scenarios = {
+    "restaurant": "You are in a restaurant. Help the user order food in English.",
+    "airport": "You are at an airport. Help the user check in and find their gate.",
+    "hotel": "You are in a hotel. Help the user book a room.",
+    "shopping": "You are in a store. Help the user ask for prices and sizes.",
+}
 
+# دالة لاختيار السيناريو المناسب
+def scenario_prompt(choice):
+    return scenarios.get(choice, "You are a language tutor AI. Help users practice real-life conversations.")
 
+# دالة لمعالجة المحادثة
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -36,39 +45,10 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a language tutor AI. Help users practice real-life conversations.", 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)",
-        ),
-    ],
-)
-scenarios = {
-    "restaurant": "You are in a restaurant. Help the user order food in English.",
-    "airport": "You are at an airport. Help the user check in and find their gate.",
-    "hotel": "You are in a hotel. Help the user book a room.",
-    "shopping": "You are in a store. Help the user ask for prices and sizes.",
-}
-
-def scenario_prompt(choice):
-    return scenarios.get(choice, "You are a language tutor AI. Help users practice real-life conversations.")
-
+# واجهة Gradio للمحادثة
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
@@ -80,6 +60,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()