Update app.py

app.py

@@ -12,13 +12,7 @@ def image_classifier(inp):
     result = {classes[i]: confidence_scores[i] for i in range(4)}
     return result
 
-import numpy as np
-
-# Function to classify images into 4 classes
-def image_classifier(inp):
-    confidence_scores = np.random. rand(4)
-    confidence_scores /= np.sum(confidence_scores)
-    classes = ['Avocado', 'Banana', 'Guava', 'Mango']
-    result = {classes[i]: confidence_scores[i] for i in range(4)}
-    return result
-
+import gradio as gr
+# Creating Gradio interface
+demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
+demo. launch()