Upload 3 files

app.py

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+from huggingface_hub import from_pretrained_fastai
+import gradio as gr
+from fastai.vision.all import *
+
+# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
+repo_id = "mapecim/ClasificadorTexto"
+
+learner = from_pretrained_fastai(repo_id)
+labels = learner.dls.vocab
+
+# Definimos una función que se encarga de llevar a cabo las predicciones
+def predict(img):
+    pred,pred_idx,probs = learner.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    
+# Creamos la interfaz y la lanzamos. 
+gr.Interface(fn=predict, inputs="text", outputs=gr.outputs.Label(num_top_classes=3)).launch(share=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0e84d6f9cc276ba41112fb3a3a13c0b061cd5077e172e2aa47c242192e28764b
+size 149759705

requirements.txt

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+fastai
+toml