| import gradio as gr |
| from huggingface_hub import InferenceClient |
|
|
| client = InferenceClient("google/gemma-2-2b-it") |
|
|
| def respond(message, history): |
| |
| messages = [{"role": "system", "content": "You are a friendly chatbot."}] |
| |
| if history: |
| for user_msg, assistant_msg in history: |
| messages.append({"role": "user", "content": user_msg}) |
| messages.append({"role": "assistant", "content": assistant_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) |
|
|
| chatbot.launch() |