Update app.py

app.py

@@ -1,64 +1,83 @@
 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
-"""
+# Hugging Face inference client
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
+def respond(message, history, system_message, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}]
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
+    for user_msg, bot_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if bot_msg:
+            messages.append({"role": "assistant", "content": bot_msg})
+    
     messages.append({"role": "user", "content": message})
-
     response = ""
-
-    for message in client.chat_completion(
+    
+    for msg in client.chat_completion(
         messages,
         max_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        token = message.choices[0].delta.content
-
+        token = msg.choices[0].delta.content
         response += token
         yield response
 
+# Enhanced UI with ChatGPT-like design
+with gr.Blocks(theme=gr.themes.Default()) as demo:
+    gr.Markdown("""
+    <h1 style='text-align: center;'>💬 AI Chat Assistant</h1>
+    <p style='text-align: center;'>A sleek and interactive chatbot experience powered by AI.</p>
+    """)
+    
+    with gr.Row():
+        system_message = gr.Textbox(
+            value="You are a helpful and intelligent assistant.",
+            label="System Message",
+            interactive=True,
+            show_label=False,
+            elem_id="system-message",
+        )
+    
+    with gr.Row():
+        max_tokens = gr.Slider(
+            minimum=1, maximum=2048, value=512, step=1, label="Max Tokens"
+        )
+        temperature = gr.Slider(
+            minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"
+        )
+        top_p = gr.Slider(
+            minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"
+        )
+    
+    with gr.Box():
+        chatbot = gr.ChatInterface(
+            respond,
+            additional_inputs=[system_message, max_tokens, temperature, top_p],
+            bubble_colors=("#007AFF", "#E5E5EA"),
+            show_copy_button=True,
+            elem_id="chat-container"
+        )
+    
+    gr.Markdown("""
+    <style>
+        #chat-container { 
+            max-width: 800px; 
+            margin: auto; 
+            border-radius: 10px; 
+            background: #f7f7f8; 
+            padding: 20px; 
+        }
+        
+        #system-message input {
+            font-size: 16px;
+            border-radius: 8px;
+        }
+    </style>
+    """)
 
-"""
-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 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)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()