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import gradio as gr | |
from transformers import pipeline | |
model_pipeline = pipeline("image-to-text", | |
model = "Salesforce/blip-image-captioning-base") | |
#990M model | |
def main(input): | |
output = model_pipeline(input) #globally defined model pipeline | |
return output[0]['generated_text'] #generated output captoion string | |
interface_gradio = gr.Interface( | |
main, | |
inputs = gr.Image(type = 'pil'), | |
outputs = "text" | |
) | |
interface_gradio.launch() |