| import gradio as gr | |
| from transformers import pipeline | |
| summarizer = pipeline('summarization', model='Eitanli/resume_label_summary_model') | |
| def predict(text): | |
| summary = summarizer(text, max_length=10, min_length=2) | |
| return {'summary': summary} | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs='text', | |
| outputs="text") | |
| if __name__ == "__main__": | |
| iface.launch() |