Delete app.py

app.py

@@ -1,44 +0,0 @@
-from fastai.vision.all import *
-import gradio as gr
-from pathlib import Path
-import zipfile
-import os
-
-# Extraer zip
-with zipfile.ZipFile("dataset.zip", 'r') as zip_ref:
-    zip_ref.extractall(".")  # crea dataset/
-
-# Asegurarse de que existe la carpeta correcta
-dataset_path = Path("dataset")
-if not dataset_path.exists():
-    raise FileNotFoundError("La carpeta 'dataset' no existe después de descomprimir el zip. Revisa la estructura del zip.")
-
-# Crear DataLoaders
-dls = ImageDataLoaders.from_folder(
-    dataset_path,
-    valid_pct=0.2,
-    seed=42,
-    item_tfms=Resize(224)
-)
-
-# Cargar modelo
-learn = vision_learner(dls, resnet34)
-learn.load("model_lab")
-
-labels = learn.dls.vocab
-
-def predict(img):
-    img = PILImage.create(img)
-    _, _, probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
-
-demo = gr.Interface(
-    fn=predict,
-    inputs=gr.Image(type="filepath"),
-    outputs=gr.Label(num_top_classes=3),
-    title="Lab Utensils Classifier"
-)
-
-demo.launch()
-
-