MLOps-demo / app.py
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initiate app py
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from transformers import pipeline
import gradio as gr
model=pipeline("summarization")
def predict(prompt):
summary=model(prompt)[0]["summary_text"]
return summary
with gr.Blocks() as demo:
textbox=gr.Textbox("Enter your text to summerize", lines=4)
gr.Interface(fn=predict,inputs=textbox,outputs="text")
demo.launch()