Create app.py
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app.py
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from huggingface_hub import from_pretrained_fastai
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import gradio as gr
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from fastai.text.all import *
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# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
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repo_id = "ungonzal/tweet_eval"
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learner = from_pretrained_fastai(repo_id)
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labels = ["positive","negative"]
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# Definimos una función que se encarga de llevar a cabo las predicciones
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def predict(text):
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#img = PILImage.create(img)
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pred,pred_idx,probs = learner.predict(text)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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# Creamos la interfaz y la lanzamos.
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gr.Interface(fn=predict, inputs=gr.inputs.Textbox(), outputs=gr.outputs.Label(num_top_classes=3),examples=['Man these are the funniest kids ever!! That face! #HappyBirthdayBubb @ FLIPnOUT Xtreme']).launch(share=False)
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