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import gradio as gr | |
from transformers import pipeline | |
model_path = 'gopanda/sentiment-finetune' | |
sentiment_pipeline = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path) | |
def predict(input_img): | |
predictions = sentiment_pipeline(input_img) | |
return predictions | |
gradio_app = gr.Interface( | |
predict, | |
) | |
if __name__ == "__main__": | |
gradio_app.launch() | |