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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("google/gemma-3-27b-it") | |
| global_prompt = "Please imagine that you are %(philosopher) and that you wish to converse in an entertaining and civilised way with a young student." | |
| def respond( | |
| message, | |
| history: list[tuple[str, str]], | |
| philosopher, | |
| ): | |
| max_tokens = 512 | |
| temperature = 0.7 | |
| top_p = 0.95 | |
| system_message = global_prompt%{'philosopher':"the philosopher " + philosopher if philosopher!="Jesus" else philosopher} | |
| 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 reset(): | |
| return [], [] | |
| """ | |
| For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface | |
| """ | |
| with gr.Blocks() as demo: | |
| philosophers=gr.Dropdown(["Socrates", | |
| "Plato", | |
| "Aristotle", | |
| "Jesus", | |
| "Thomas Aquinas", | |
| "Baruch Spinoza", | |
| "John Stuart Mill", | |
| "John Locke", | |
| "Immanuel Kant", | |
| "Jean-Jacques Rousseau", | |
| "Thomas Paine", | |
| "David Hume", | |
| "Thomas Hobbes", | |
| "Jeremy Bentham", | |
| "Adam Smith", | |
| "Edmund Burke", | |
| "Georg Hegel", | |
| "Arthur Schopenhauer", | |
| "Karl Marx"], label="Philosophers", info="Please choose one", value="Socrates") | |
| bot = gr.Chatbot(render=False) | |
| chat = gr.ChatInterface( | |
| respond, | |
| chatbot = bot, | |
| additional_inputs=[ | |
| philosophers, | |
| ] | |
| # 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)", | |
| # ), | |
| # ], | |
| ) | |
| philosophers.input(reset, None, [bot, chat.chatbot_state], queue=False) | |
| if __name__ == "__main__": | |
| demo.launch() | |