Dangurangu's picture
Create app.py
68cdbb3 verified
raw
history blame contribute delete
363 Bytes
import gradio as gr
from transformers import pipeline
pipe = pipeline("image-to-text",
model="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()