update

app.py

@@ -18,7 +18,7 @@ transform_pil = transforms.Compose([
 ])
 
 
-def predict(f_path):
+def inference_api(f_path):
     print(f_path)
 
     results = dict(img_info=dict(filename=f_path, ann=dict(seg_map='None')))
@@ -78,7 +78,7 @@ if __name__ == '__main__':
     pipelines = Compose(cfg.data.val[0].pipeline)
 
     iface = gr.Interface(
-        predict,
+        inference_api,
         inputs=gr.inputs.Image(label="Upload image to detect", type="filepath"),
         # outputs=['text', 'image'],
         outputs=[gr.outputs.Textbox(type="text", label="image forgery score"),