add app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+import requests
+
+
+def predict(name):
+    url = 'http://81.70.158.155:5005/predict'
+    with open(img, 'rb') as f:
+        r = requests.post(url, files = {'image' : f})
+        ret = json.loads(r.text)
+
+    # image level cls score
+    pred_cls_score = ret['cls_score']
+    pred_seg = json.loads(ret['result'])
+    pred_seg = np.array(pred_seg, dtype=np.uint8)
+    
+    return pred_seg
+  
+        
+
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Image(label="Upload image to detect", type="filepath"),
+    outputs='image',
+    title="Forged? Or Not?",
+).launch()