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 = "YOUR_USERNAME/YOUR_LEARNER_NAME"
+repo_id = "joelmateo14/peliculas"
+
+learner = from_pretrained_fastai(repo_id)
+labels = learner.dls.vocab
+
+# Definimos una función que se encarga de llevar a cabo las predicciones
+def predict(text):
+    pred,pred_idx,probs = learner.predict(text)
+    if (pred=="0"):
+      return neg
+    elif (pred=="1"):
+      return pos
+    else:
+      return error
+    
+# Creamos la interfaz y la lanzamos. 
+gr.Interface(fn=predict, inputs="text", outputs="label",examples=["i would not watch it again, it is amazing one of my favorites"]).launch()