Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+import numpy as np
+
+# Function to classify images into 7 classes
+def image_classifier(inp):
+    # Dummy classification logic
+    # Generating random confidence scores for each class
+    confidence_scores = np.random.rand(2)
+    # Normalizing confidence scores to sum up to 1
+    confidence_scores /= np.sum(confidence_scores)
+    # Creating a dictionary with class labels and corresponding confidence scores
+    classes = ['apple', 'banana']
+    result = {classes[i]: confidence_scores[i] for i in range(2)}
+    return result
+
+# Creating Gradio interface
+demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
+demo.launch()