initiate the repository

README.md

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+---
+title: Lab2
+emoji: 💬
+colorFrom: yellow
+colorTo: purple
+sdk: gradio
+sdk_version: 5.0.1
+app_file: app.py
+pinned: false
+license: apache-2.0
+short_description: lab2
+---
+
+An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("xiaojingyan/lora_model_r16_merged16")
+
+
+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:
+        if val[0]:
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:
+            messages.append({"role": "assistant", "content": val[1]})
+
+    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,
+    ):
+        token = message.choices[0].delta.content
+
+        response += token
+        yield response
+
+
+def chat_interface():
+    with gr.Blocks(css="""
+        #send_button {
+            background-color: grey;
+            color: white;
+            border: none;
+            padding: 8px 16px;
+            font-size: 16px;
+            border-radius: 4px;
+            cursor: not-allowed;
+        }
+        #send_button.active {
+            background-color: blue;
+            cursor: pointer;
+        }
+    """) as demo:
+        gr.Markdown(
+            """
+            ## 🤖 Chatbot Interface
+            Welcome to the enhanced chatbot interface! Customize settings below and interact with the bot in the chat window.
+            """
+        )
+
+        with gr.Row():
+            with gr.Column(scale=2):
+                chat = gr.Chatbot()  # Default Chatbot component for user and assistant
+                msg = gr.Textbox(
+                    placeholder="Type your message here...",
+                    label="Your Message",
+                    lines=1,
+                    interactive=True,
+                )
+                submit = gr.Button("Send", elem_id="send_button")
+                typing_indicator = gr.Markdown("")  # Placeholder for typing indicator
+
+            with gr.Column(scale=1):
+                gr.Markdown("### Settings")
+                system_message = gr.Textbox(
+                    value="You are a friendly chatbot.",
+                    label="System Message",
+                    lines=3,
+                )
+                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"
+                )
+                reset_button = gr.Button("Reset Chat")  # Reset button to clear history
+
+        history = gr.State([])  # Chat history state
+
+        # Define interaction logic
+        def user_input(
+            user_message, chat_history, system_msg, max_t, temp, top_p_val
+        ):
+            if user_message:
+                chat_history.append((user_message, None))  # Add user message
+                yield chat_history, "", "Assistant is typing..."
+                response = respond(
+                    user_message, chat_history, system_msg, max_t, temp, top_p_val
+                )
+                for partial_response in response:
+                    chat_history[-1] = (user_message, partial_response)  # Update assistant response
+                    yield chat_history, "", "Assistant is typing..."
+                yield chat_history, "", ""
+
+        submit.click(
+            user_input,
+            inputs=[msg, history, system_message, max_tokens, temperature, top_p],
+            outputs=[chat, msg, typing_indicator],
+            show_progress=True,
+        )
+
+        msg.submit(
+            user_input,
+            inputs=[msg, history, system_message, max_tokens, temperature, top_p],
+            outputs=[chat, msg, typing_indicator],
+            show_progress=True,
+        )
+
+        # Change button class dynamically
+        def toggle_button_color(text):
+            if text.strip():
+                return gr.update(elem_classes=["active"])
+            else:
+                return gr.update(elem_classes=[])
+
+        msg.change(toggle_button_color, inputs=msg, outputs=submit)
+
+        # Reset chat
+        def reset_chat():
+            return [], "", "", []  # Clear chat, message, typing indicator, and history state
+
+        reset_button.click(reset_chat, inputs=[], outputs=[chat, msg, typing_indicator, history])
+
+    return demo
+
+
+if __name__ == "__main__":
+    demo = chat_interface()
+    demo.launch()

requirements.txt

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+huggingface_hub==0.25.2