Create app.py

app.py

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+from huggingface_hub import from_pretrained_fastai
+import gradio as gr
+from fastai.text.all import *
+
+repo_id = "mahernto/imdbmodel"
+learner = from_pretrained_fastai(repo_id)
+
+labels = learner.dls.vocab 
+
+# Función para hacer predicciones con texto
+def predict(text):
+    pred, pred_idx, probs = learner.predict(text)
+    # Retornamos dict con etiqueta y su probabilidad
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+# Interfaz Gradio para texto y etiquetas de salida
+gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=2, placeholder="Write your movie review here..."),
+    outputs=gr.Label(num_top_classes=2),
+    examples=[
+        ["This movie was fantastic, I loved the plot and acting!"],
+        ["The film was boring and too long."]
+    ]
+).launch(share=False)