Update app.py

app.py

@@ -1,11 +1,20 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Load the Inference Client
+"""
+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")
 
-# Function to handle chatbot responses
-def respond(message, history, system_message, max_tokens, temperature, top_p):
+
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+):
     messages = [{"role": "system", "content": system_message}]
 
     for val in history:
@@ -17,51 +26,39 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
     messages.append({"role": "user", "content": message})
 
     response = ""
+
     for message in client.chat_completion(
-        messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p
+        messages,
+        max_tokens=max_tokens,
+        stream=True,
+        temperature=temperature,
+        top_p=top_p,
     ):
         token = message.choices[0].delta.content
+
         response += token
         yield response
 
-# Interactive Chat Interface
-with gr.Blocks() as demo:
-    gr.Markdown("<h1 style='text-align: center;'>Interactive Chatbot</h1>")
-    
-    # Chat history and input panel
-    with gr.Row():
-        with gr.Column(scale=4):
-            chatbot = gr.Chatbot(label="Chat History")
-        with gr.Column(scale=1):
-            with gr.Row():
-                system_message = gr.Textbox(
-                    value="You are a friendly Chatbot.",
-                    label="System Message",
-                    placeholder="Set the chatbot's behavior",
-                )
-            with gr.Row():
-                user_input = gr.Textbox(label="Your Message", placeholder="Type your message here")
-            with gr.Row():
-                submit_btn = gr.Button("Send")
-    
-    # Advanced settings
-    with gr.Row():
-        max_tokens = gr.Slider(
-            minimum=1, maximum=2048, value=512, step=1, label="Max New 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 (Nucleus Sampling)"
-        )
-    
-    # Action to send and process messages
-    submit_btn.click(
-        respond,
-        inputs=[user_input, chatbot, system_message, max_tokens, temperature, top_p],
-        outputs=chatbot,
-    )
+
+"""
+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()