Update app.py

app.py

@@ -1,20 +1,11 @@
 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
-"""
+# Load the Inference Client
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
+# Function to handle chatbot responses
+def respond(message, history, system_message, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}]
 
     for val in history:
@@ -26,39 +17,51 @@ def respond(
     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
 
-
-"""
-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)",
-        ),
-    ],
-)
-
+# 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,
+    )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()