Update app.py

app.py

@@ -1,14 +1,13 @@
+
 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
+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")
 
 
-# وظيفة الاستجابة
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -16,11 +15,6 @@ def respond(
     max_tokens,
     temperature,
     top_p,
-    repetition_penalty,
-    frequency_penalty,
-    presence_penalty,
-    stop_sequences,
-    allow_stream,
 ):
     messages = [{"role": "system", "content": system_message}]
 
@@ -34,28 +28,22 @@ def respond(
 
     response = ""
 
-    # التعامل مع API باستخدام الخيارات المضافة
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
-        stream=allow_stream,
+        stream=True,
         temperature=temperature,
         top_p=top_p,
-        repetition_penalty=repetition_penalty,
-        frequency_penalty=frequency_penalty,
-        presence_penalty=presence_penalty,
-        stop_sequences=stop_sequences,
     ):
         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
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
-# إعداد واجهة Gradio مع الميزات الجديدة
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
@@ -69,58 +57,9 @@ demo = gr.ChatInterface(
             step=0.05,
             label="Top-p (nucleus sampling)",
         ),
-        gr.Slider(
-            minimum=1.0,
-            maximum=2.0,
-            value=1.2,
-            step=0.1,
-            label="Repetition Penalty",
-        ),
-        gr.Slider(
-            minimum=-2.0,
-            maximum=2.0,
-            value=0.0,
-            step=0.1,
-            label="Frequency Penalty",
-        ),
-        gr.Slider(
-            minimum=-2.0,
-            maximum=2.0,
-            value=0.0,
-            step=0.1,
-            label="Presence Penalty",
-        ),
-        gr.Textbox(
-            value="",
-            placeholder="Enter custom stop sequences (comma-separated)",
-            label="Stop Sequences",
-        ),
-        gr.Checkbox(value=True, label="Stream responses"),
-        gr.Checkbox(value=False, label="Enable Markdown Formatting"),
-        gr.Checkbox(value=True, label="Enable Response Summarization"),
-        gr.Textbox(
-            value="en",
-            placeholder="Enter language code (e.g., en, fr, ar)",
-            label="Response Language",
-        ),
-        gr.Textbox(
-            value="",
-            placeholder="Optional: Specify keywords to highlight",
-            label="Highlight Keywords",
-        ),
-        gr.Checkbox(value=False, label="Enable Sentiment Analysis"),
-        gr.Checkbox(value=False, label="Enable Keyword Extraction"),
-        gr.Checkbox(value=False, label="Enable Named Entity Recognition"),
     ],
-    title="Enhanced AI Chatbot",
-    description=(
-        "An advanced chatbot interface powered by Zephyr-7B with new features "
-        "like sentiment analysis, custom stop sequences, multilingual support, "
-        "and keyword highlighting."
-    ),
-    theme="default",  # يمكن التبديل إلى "compact" إذا رغبت بتصميم مضغوط
 )
 
-# تشغيل التطبيق
+
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()