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import gradio as gr |
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from huggingface_hub import InferenceClient |
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client = InferenceClient("microsoft/Phi-3.5-mini-instruct") |
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prompts = [ |
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"Tell me a joke about programming", |
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"Write a short story about a time-traveling robot", |
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"Explain quantum computing to a 5-year-old", |
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"Create a recipe for the most unusual pizza", |
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"Describe an alien civilization's first contact with Earth" |
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] |
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def respond( |
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message, |
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history: list[tuple[str, str]], |
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system_message, |
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max_tokens, |
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temperature, |
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top_p, |
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): |
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messages = [{"role": "system", "content": system_message}] |
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for val in history: |
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if val[0]: |
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messages.append({"role": "user", "content": val[0]}) |
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if val[1]: |
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messages.append({"role": "assistant", "content": val[1]}) |
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messages.append({"role": "user", "content": message}) |
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response = "" |
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for message in client.text_generation( |
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prompt="\n".join([m["content"] for m in messages]), |
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max_new_tokens=max_tokens, |
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stream=True, |
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temperature=temperature, |
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top_p=top_p, |
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): |
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token = message.token.text |
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response += token |
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yield response |
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def update_textbox(prompt): |
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return gr.Textbox.update(value=prompt) |
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with gr.Blocks() as demo: |
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chatbot = gr.Chatbot() |
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msg = gr.Textbox() |
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clear = gr.ClearButton([msg, chatbot]) |
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with gr.Accordion("Advanced options", open=False): |
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system = gr.Textbox(value="You are a friendly Chatbot.", label="System message") |
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max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens") |
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temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature") |
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top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)") |
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prompt_dropdown = gr.Dropdown(choices=prompts, label="Select a premade prompt") |
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prompt_dropdown.change(update_textbox, inputs=[prompt_dropdown], outputs=[msg]) |
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msg.submit(respond, [msg, chatbot, system, max_tokens, temperature, top_p], chatbot) |
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clear.click(lambda: None, None, chatbot, queue=False) |
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if __name__ == "__main__": |
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demo.launch() |
