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import os
import gradio as gr
from transformers import pipeline
pipe = pipeline("image-to-text",
model="https://s172-29-45-186p8888.lab-aws-production.deeplearning.ai/tree/L14/models/Salesforce/blip-image-captioning-base")
def launch(input):
out = pipe(input)
return out[0]['generated_text']
iface = gr.Interface(launch,
inputs=gr.Image(type='pil'),
outputs="text")
iface.launch() |