create app.py

app.py

@@ -0,0 +1,24 @@
+from huggingface_hub import from_pretrained_fastai
+import gradio as gr
+from fastai.text.all import *
+
+repo_id = "almangad/entregable3" 
+
+learner = from_pretrained_fastai(repo_id)
+labels = learner.dls.vocab[1]
+
+def predict_text(texto):
+    pred, pred_idx, probs = learner.predict(texto)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+demo = gr.Interface(
+    fn=predict_text, 
+    inputs=gr.Textbox(lines=3, placeholder="Escribe aquí el texto a clasificar..."),
+    outputs=gr.Label(num_top_classes=6),
+    examples=[
+        ["im feeling quite sad and sorry for myself but ill snap out of it soon"],
+        ["i am feeling grouchy"]
+    ]
+)
+
+demo.launch(share=False)