Delete app.py

app.py

@@ -1,25 +0,0 @@
-import gradio as gr
-from fastai.vision.all import *
-import skimage
-
-learn = load_learner('model_moblenet.h5')
-
-labels = learn.dls.vocab
-def predict(img):
-    img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
-
-import os
-for root, dirs, files in os.walk(r'sample_images/'):
-    for filename in files:
-        print(filename)
-
-title = "Rice Disease Classifier"
-description = "A rice disease classifier that can detect 3 diseases - blast, blight, tungro"
-interpretation='default'
-examples = ["sample_images/"+file for file in files] 
-article="<p style='text-align: center'><a href='https://dicksonneoh.com/' target='_blank'>Blog post</a></p>"
-enable_queue=True
-
-gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(384, 384)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue, theme="grass").launch()