attempt tuples

app.py

@@ -55,7 +55,7 @@ model.compile(metrics=metrics)
 def predict(ash_image, model=model):
     #label = np.load(label_image)
     # ash_image = np.load('images/552609781892851211.npy')
-    ash_image = np.load(ash_image)
+    ash_image = np.load(ash_image[1])
     y_pred = model.predict(ash_image.reshape(1,256, 256, 3))
     prediction = np.argmax(y_pred[0], axis=2).reshape(256,256)
     #intersection = label & prediction
@@ -77,7 +77,7 @@ if __name__ == "__main__":
             img_output = gr.AnnotatedImage(label="Predictions", height=256, width=256, color_map=class2hexcolor)
 
         section_btn = gr.Button("Generate Predictions")
-        section_btn.click(partial(predict, model=model), img_input[1], img_output)
+        section_btn.click(partial(predict, model=model), [img_input,file_input], img_output)
 
         images_dir = glob(os.path.join(os.getcwd(), "images") + os.sep + "*.png")
         files_dir = glob(os.path.join(os.getcwd(), "numpy_files") + os.sep + "*.npy")