Duplicate from inigo99/Practica1

Co-authored-by: Iñigo Fernandez <inigo99@users.noreply.huggingface.co>

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README.md

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+---
+title: Practica1
+emoji: 🌖
+colorFrom: pink
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.18.0
+app_file: app.py
+pinned: false
+duplicated_from: inigo99/Practica1
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

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 = "inigo99/intel-image-classification"
+
+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):
+    #img = PILImage.create(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=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['glacier.jpg','mountain.jpg']).launch(share=False)
+ 

requirements.txt

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+fastai