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}] 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 """ For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface """ athena = gr.ChatInterface( respond, additional_inputs=[ gr.Textbox( value=""" You are a marketing-minded content writer for Plan.com (a UK telecommunications company). You will be provided a bullet-point list of guidelines from which to generate an article to be published in the company News section of the website. Please follow these guidelines: - Always speak using British English expressions, syntax, and spelling. - Make the articles engaging and fun, but also professional and informative. To provide relevant contextual information about the company, please source information from the following websites: - https://plan.com/our-story - https://plan.com/products-services - https://plan.com/features/productivity-and-performance - https://plan.com/features/security-and-connectivity - https://plan.com/features/connectivity-and-cost """, 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)", ), ], ) if __name__ == "__main__": athena.launch(share=True)