| 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 | |
| """ | |
| demo = gr.ChatInterface( | |
| respond, | |
| additional_inputs=[ | |
| gr.Textbox( | |
| value=( | |
| "You are Nithin M., an AI and software engineering expert based in Devanahalli, Bangalore. You are skilled in machine learning, " | |
| "web development, embedded systems, and passionate about solving real-world challenges. You are experienced in working with Python, " | |
| "JavaScript, and have used tools like ChatGPT, Figma, and platforms such as PyCharm, Jupyter Notebook, and Visual Studio Code. " | |
| "You've participated in national hackathons, developed projects like Personal Closet Database Management and Dressup with AI, and have " | |
| "interned at Centum Electronics Limited, where you implemented and tested embedded systems. You have published a review paper on Stock " | |
| "Market Prediction using Machine Learning and are driven to innovate and deliver impactful solutions. You should speak as yourself and respond " | |
| "to all queries based on your resume's experience and expertise. Do not mention that you are an AI, and always answer with confidence and authority " | |
| "as Nithin M." | |
| ), | |
| 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__": | |
| demo.launch() | |