add model2.pkl and corresponding getters

app.py

@@ -19,16 +19,17 @@ app.add_middleware(
 
 def get_x(i):
     # Convert NumPy array to a single-channel PIL image with inverted colors
-    return PILImageBW.create(all_noise[i])
+    return PILImageBW.create(x[i])
 
 def get_y(i):
-    return all_thresh[i].astype(np.float32)
+    return y[i].astype(np.float32)
 
 def get_items(_):
-    return range(len(all_noise))
+    return range(len(x))
 
 # Load the model
-learn = load_learner('model.pkl')
+#learn = load_learner('model.pkl')
+learn = load_learner('model2.pkl')
 
 @app.get("/")
 def read_root():

model2.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1782bbc0c2083d506c1eb98179a584a19a66964286be72acc30685b526522508
+size 88336243