Create app.py

app.py

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+from huggingface_hub import from_pretrained_fastai
+import gradio as gr
+from fastai.vision.all import *
+
+repo_id = "osrandez/sst2"
+
+labels = ['mala','buena']
+learner = from_pretrained_fastai(repo_id)
+
+def predict(text):
+    pred,pred_idx,probs = learner.predict(text)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+gr.Interface(fn=predict, inputs=gr.inputs.Textbox(), outputs=gr.outputs.Label(num_top_classes=2)).launch(share=False,debug=True)