| import gradio as gr |
| from huggingface_hub import InferenceClient |
|
|
| client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") |
|
|
| def respond(message, history): |
| messages = [{"role": "system", "content": "You are a friendly chatbot!"}] |
| |
| |
| for user_msg, bot_msg in history: |
| messages.append({"role": "user", "content": user_msg}) |
| messages.append({"role": "assistant", "content": bot_msg}) |
| |
| |
| messages.append({"role": "user", "content": message}) |
| |
| |
| response = client.chat_completion( |
| messages, |
| max_tokens=100 |
| ) |
| |
| return response.choices[0].message.content.strip() |
|
|
| chatbot = gr.ChatInterface( |
| respond, |
| title="Zephyr-7b Chatbot", |
| description="A chatbot powered by Zephyr-7b-beta" |
| ) |
|
|
| if __name__ == "__main__": |
| chatbot.launch() |