| import gradio as gr |
| from huggingface_hub import InferenceClient |
|
|
| client = InferenceClient("microsoft/Phi-3.5-mini-instruct") |
|
|
| |
| prompts = [ |
| "Tell me a joke about programming", |
| "Write a short story about a time-traveling robot", |
| "Explain quantum computing to a 5-year-old", |
| "Create a recipe for the most unusual pizza", |
| "Describe an alien civilization's first contact with Earth" |
| ] |
|
|
| def respond( |
| message, |
| history: list[tuple[str, str]], |
| system_message, |
| max_tokens, |
| temperature, |
| top_p, |
| ): |
| if not message: |
| return [] |
| |
| 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}) |
|
|
| prompt = "\n".join([m["content"] for m in messages]) |
| response = "" |
|
|
| try: |
| for chunk in client.text_generation( |
| prompt, |
| max_new_tokens=max_tokens, |
| stream=True, |
| temperature=temperature, |
| top_p=top_p, |
| ): |
| if isinstance(chunk, str): |
| response += chunk |
| else: |
| response += chunk.token.text if hasattr(chunk, 'token') else chunk.generated_text |
| yield [(message, response)] |
| except Exception as e: |
| yield [(message, f"An error occurred: {str(e)}")] |
|
|
| def update_textbox(prompt): |
| return gr.update(value=prompt) |
|
|
| with gr.Blocks() as demo: |
| chatbot = gr.Chatbot() |
| msg = gr.Textbox(label="Type your message or select a prompt") |
| with gr.Row(): |
| prompt_dropdown = gr.Dropdown(choices=[""] + prompts, label="Select a premade prompt", value="") |
| submit = gr.Button("Submit") |
| clear = gr.ClearButton([msg, chatbot]) |
|
|
| with gr.Accordion("Advanced options", open=False): |
| system = gr.Textbox(value="You are a friendly Chatbot.", label="System message") |
| 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)") |
|
|
| prompt_dropdown.change(update_textbox, inputs=[prompt_dropdown], outputs=[msg]) |
|
|
| submit.click(respond, [msg, chatbot, system, max_tokens, temperature, top_p], chatbot) |
| msg.submit(respond, [msg, chatbot, system, max_tokens, temperature, top_p], chatbot) |
| clear.click(lambda: None, None, chatbot, queue=False) |
|
|
| if __name__ == "__main__": |
| demo.launch() |
