prueba

app.py

@@ -1,16 +1,16 @@
 import gradio as gr
-from fastai.learner import load_learner
-from fastai.vision.core import PILImage
-from huggingface_hub import hf_hub_download
+#from fastai.learner import load_learner
+#from fastai.vision.core import PILImage
+#from huggingface_hub import hf_hub_download
 
 
-learner = load_learner(hf_hub_download("jdmartinev/intel_image_classification_fastai","model.pkl"))
+#learner = load_learner(hf_hub_download("jdmartinev/intel_image_classification_fastai","model.pkl"))
 
 def classify_image(image):
-    img = PILImage.create(image)
-    pred_class, pred_idx, outputs = learn.predict(img)
-    return f"Predicted class: {pred_class}"
-
+    #img = PILImage.create(image)
+    #pred_class, pred_idx, outputs = learn.predict(img)
+    #return(f"Predicted class: {pred_class}")
+    return("edificio")
 
 demo = gr.Interface(classify_image, gr.Image(shape=(224, 224)), "text")
 demo.launch()