Create app.py
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app.py
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from fastai.text.all import*
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import gradio as gr
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learn = load_learner('nlp_model.pkl')
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labels = learn.dls.vocab
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examples = ["I can't believe you lied to me again! This is unacceptable!",
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"Got a surprise gift today, feeling overjoyed!"]
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def classify_text(text):
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pred,pred_idx,probs = learn.predict(text)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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interface = gr.Interface(fn=classify_text,
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inputs = gr.inputs.Texbox(placeholder="Enter Text here", label='Input text',lines=5)),
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outputs=gr.outputs.Label(num_top_classes=4, label='Emotion inthe Text'),
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verbose=True,
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title="Emotion Classifier",
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theme='soft')
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interface.launch()
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