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| 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 | |
| """ | |
| client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") | |
| def respond( | |
| message, | |
| history: list[tuple[str, str]], | |
| system_message, | |
| max_tokens, | |
| temperature, | |
| top_p, | |
| ): | |
| messages = [{"role": "system", "content": system_message}] + history | |
| messages.append({"role":"user","content":message}) | |
| reponse = "" | |
| # for val in history: | |
| # if val[0]: | |
| # messages.append({"role": "user", "content": val[0]}) | |
| # if val[1]: | |
| # messages.append({"role": "assistant", "content": val[1]}) | |
| for part in client.chat_completion( | |
| messages, max_tokens=max_tokens, streams=True, temperature=temperature, | |
| top_p=top_p | |
| ): | |
| token = part.choices[0].delta.content | |
| if token: | |
| response += token | |
| history.append({"role":"user", "content": message}) | |
| history.append({"role":"assistant", "content": respond}) | |
| return history,"" | |
| # 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 | |
| """ | |
| 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)", | |
| # ), | |
| # ], | |
| # ) | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## Zephyr Chatbot with Custom UI") | |
| chatbot = gr.Chatbot(type="messages", label="Chatbot") | |
| state = gr.State([]) | |
| with gr.Row(): | |
| msg = gr.Textbox(label="Type your message...", scale=6) | |
| send_btn = gr.Button("Send", scale=1) | |
| role_dropdown = gr.Dropdown(choices=["SDE", "BA"], label="Select Role", value="SDE") | |
| system = gr.Textbox(value="You are a friendly chatbot.", label="System message") | |
| max_tokens = gr.Slider(1, 2048, value=512, label="Max tokens") | |
| temperature = gr.Slider(0.1, 4.0, value=0.7, label="Temperature", step=0.1) | |
| top_p = gr.Slider(0.1, 1.0, value=0.95, label="Top-p", step=0.05) | |
| with gr.Row(): | |
| clear_btn = gr.Button("Clear Chat") | |
| dummy_btn = gr.Button("Dummy Action") | |
| def handle_submit(message, history, system, max_tokens, temperature, top_p): | |
| response_gen = response(message, history, system, max_tokens, temperature, top_p) | |
| final_response = "" | |
| for r in response_gen: | |
| final_response = r | |
| updated_history = history + [(message, final_response)] | |
| return updated_history, updated_history, "" | |
| send_btn.click( | |
| handle_submit, | |
| [msg, state, system, max_tokens, temperature, top_p], | |
| [chatbot, state, msg], | |
| ) | |
| msg.submit( | |
| handle_submit, | |
| [msg, state, system, max_tokens, temperature, top_p], | |
| [chatbot, state, msg], | |
| ) | |
| clear_btn.click(lambda: ([], [], ""), None, [chatbot, state, msg]) | |
| dummy_btn.click(lambda: gr.Info("Dummy action clicked!"), None, None) | |
| if __name__ == "__main__": | |
| demo.launch() | |