Update app.py

app.py

@@ -1,3 +1,20 @@
 import gradio as gr
+from PIL import Image
+import numpy as np
 
-gr.load("models/fal/AuraSR-v2").launch()
+def process_output(prediction):
+    # Assuming the tuple contains numpy arrays representing images
+    if isinstance(prediction, tuple):
+        # Convert the first element of the tuple to an image
+        image_array = prediction[0]
+        image = Image.fromarray(image_array.astype('uint8'))
+        return image
+    return prediction
+
+def predict(input_data):
+    # Load your model and get the prediction
+    prediction = some_model.predict(input_data)
+    return process_output(prediction)
+
+interface = gr.Interface(fn=predict, inputs="text", outputs="image")
+interface.launch()