model uploaded

app.py

@@ -1,15 +1,12 @@
 import numpy as np
 import gradio as gr
+from model import api
 
-def sepia(input_img):
-    sepia_filter = np.array([
-        [0.393, 0.769, 0.189], 
-        [0.349, 0.686, 0.168], 
-        [0.272, 0.534, 0.131]
-    ])
-    sepia_img = input_img.dot(sepia_filter.T)
-    sepia_img /= sepia_img.max()
-    return "hello"
+sign_api = api()
 
-demo = gr.Interface(sepia,inputs=gr.Image(shape=(200, 200)), outputs=gr.Label())
+def sign(input_img):
+    prediction = sign_api.predict(image)
+    return prediction
+
+demo = gr.Interface(sign,inputs=gr.Image(shape=(200, 200)), outputs=gr.Label())
 demo.launch()