Create app.py

app.py

@@ -0,0 +1,28 @@
+from fastai.vision.all import *
+import gradio as gr
+
+# Assuming models are loaded into a dictionary named `models` as before
+
+def classify_images(img_ultrasound, img_oct, img_fundus, img_fluorescence):
+    imgs = [img_ultrasound, img_oct, img_fundus, img_fluorescence]
+    modality_keys = ['Ultrasound', 'OCT', 'Fundus', 'Fluorescence']
+    predictions = []
+    
+    # Predict with each model
+    for img, key in zip(imgs, modality_keys):
+        pred, _, _ = models[key].predict(img)
+        predictions.append(pred)
+    
+    # Majority vote for final decision
+    final_decision = max(set(predictions), key=predictions.count)
+    
+    return f"ODD Detection: {final_decision}"
+
+# Define the Gradio interface
+inputs = [gr.inputs.Image(shape=(192, 192), label=f"{modality} Image") for modality in modality_keys]
+output = gr.outputs.Text(label="Final Decision")
+
+intf = gr.Interface(fn=classify_images, inputs=inputs, outputs=output,
+                    title="ODD Detection from Multiple Imaging Modalities",
+                    description="Upload images for each modality and receive a binary prediction for Optic Disk Drusen presence.")
+intf.launch(inline=False)