| import gradio as gr | |
| from transformers import pipeline | |
| # Use a pipeline as a high-level helper | |
| messages = [ | |
| {"role": "user", "content": "Who are you?"}, | |
| ] | |
| pipe = pipeline("text-generation", model="X-D-Lab/MindChat-Qwen2-0_5B") | |
| pipe(messages) | |
| def respond(message): | |
| result = pipe(message, max_new_tokens=100) | |
| return result[0]["generated_text"] | |
| gr.Interface(fn=respond, inputs="text", outputs="text").launch() |