Update app.py

app.py

@@ -44,7 +44,7 @@ def aiornot1(image):
     model1 = AutoModelForImageClassification.from_pretrained(mod)
     input = feature_extractor1(image, return_tensors="pt")
     with torch.no_grad():
-      outputs = model1(**input)
+        outputs = model1(**input)
         logits = outputs.logits
         probability = softmax(logits)
         px = pd.DataFrame(probability.numpy())
@@ -66,7 +66,7 @@ def aiornot2(image):
     model2 = AutoModelForImageClassification.from_pretrained(mod)
     input = feature_extractor2(image, return_tensors="pt")
     with torch.no_grad():
-      outputs = model2(**input)
+        outputs = model2(**input)
         logits = outputs.logits
         probability = softmax(logits)
         px = pd.DataFrame(probability.numpy())