| import gradio as gr | |
| import transformers | |
| from transformers import pipeline | |
| generator=pipeline('text-generation',model='microsoft/phi-2') | |
| generator('Hello i am an artificial intelligence engineer',max_length=40) | |
| def Get_GenerationText(input_text): | |
| result= generator(input_text) | |
| return result[0]['generated_text'] | |
| iface=gr.Interface(fn=Get_GenerationText, | |
| title='Generation Text', | |
| inputs='text', | |
| outputs='text', | |
| description='Get Text Generation of giving input').launch() |