Create app.py

app.py

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+from huggingface_hub import from_pretrained_fastai
+from fastai.text.all import *
+import gradio as gr
+
+repo_id = "Unax14/entregable3"
+
+learner = from_pretrained_fastai(repo_id)
+labels = learner.dls.vocab
+
+
+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.Textbox(lines=3, placeholder="Escribe una frase que exprese un sentimiento..."),
+    outputs=gr.Label(num_top_classes=3),
+    title="Clasificador de emociones",
+    description="Introduce la frase:"
+).launch()