changes_v0.1

app.py

@@ -15,11 +15,18 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
  
-title = "Classification of Diseases in Maize"
-description = "The Classification of disease in maize is trained in Kaggle datasets with fastai. Created as a demo for Gradio and HuggingFace Spaces."
-article="Four Classes"
-examples =['corn.jpg']
-interpretation='default'
-enable_queue=True
+title = "Classification of Diseases in Maize (AI)"
+description = "This is a Machine Learning Model trained in Kaggle datasets with fastAI, created as a web App using Gradio and hosted on HuggingFace Spaces."
+article = "Four Classes"
+examples = ['corn.jpg']
+interpretation = 'default'
+enable_queue = True
 
-gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
+gr.Interface(fn = predict, inputs = gr.inputs.Image(shape = (512, 512)),
+outputs = gr.outputs.Label(num_top_classes = 3),
+title = title,
+description = description,
+article = article,
+examples = examples, 
+interpretation = interpretation, 
+enable_queue = enable_queue).launch()