lagordo commited on
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Create app.py

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  1. app.py +19 -0
app.py ADDED
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+ from fastai.vision.all import *
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+ import gradio as gr
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+
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+
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+ # Cargamos el learner
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+ learn = load_learner('export.pkl')
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+
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+ # Definimos las etiquetas de nuestro modelo
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+ labels = ["0","1","2","3"]
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+
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+
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+ # Definimos una función que se encarga de llevar a cabo las predicciones
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+ def predict(string):
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+ print(learn.predict(string))
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+ pred,pred_idx,probs = learn.predict(string)
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+ return {labels[i]: float(probs[i]) for i in range(len(labels))}
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+
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+ # Creamos la interfaz y la lanzamos.
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+ gr.Interface(fn=predict, inputs=gr.inputs.Textbox(lines=1), outputs=gr.outputs.Label(num_top_classes=3),examples=['it was so annoying to watch the president','I am so glad to see you'], title="Natural Language Model to classify the feelings of a message", description="This model has been trained with messages obtained from Twitter. Its purpose is to classify the possible feelings that a message might express. The labels obtained have the following meaning:\n 0: anger\n 1: joy\n 2: optimism\n 3: sadness").launch(share=False)