Omnibus commited on
Commit
8ac9fae
1 Parent(s): f345fc6

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -52,7 +52,7 @@ def aiornot0(image):
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  def aiornot1(image):
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  labels = ["Real", "AI"]
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  mod=models[1]
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- feature_extractor1 = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")
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  model1 = AutoModelForImageClassification.from_pretrained(mod)
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  input = feature_extractor1(image, return_tensors="pt")
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  with torch.no_grad():
@@ -76,7 +76,7 @@ def aiornot1(image):
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  def aiornot2(image):
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  labels = ["AI", "Real"]
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  mod=models[2]
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- feature_extractor2 = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")
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  model2 = AutoModelForImageClassification.from_pretrained(mod)
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  input = feature_extractor2(image, return_tensors="pt")
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  with torch.no_grad():
@@ -101,7 +101,7 @@ def aiornot2(image):
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  def aiornot3(image):
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  labels = ["Real", "AI"]
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  mod=models[3]
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- feature_extractor3 = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")
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  model3 = AutoModelForImageClassification.from_pretrained(mod)
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  input = feature_extractor3(image, return_tensors="pt")
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  with torch.no_grad():
 
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  def aiornot1(image):
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  labels = ["Real", "AI"]
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  mod=models[1]
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+ feature_extractor1 = AutoFeatureExtractor.from_pretrained(mod)
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  model1 = AutoModelForImageClassification.from_pretrained(mod)
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  input = feature_extractor1(image, return_tensors="pt")
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  with torch.no_grad():
 
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  def aiornot2(image):
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  labels = ["AI", "Real"]
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  mod=models[2]
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+ feature_extractor2 = AutoFeatureExtractor.from_pretrained(mod)
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  model2 = AutoModelForImageClassification.from_pretrained(mod)
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  input = feature_extractor2(image, return_tensors="pt")
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  with torch.no_grad():
 
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  def aiornot3(image):
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  labels = ["Real", "AI"]
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  mod=models[3]
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+ feature_extractor3 = AutoFeatureExtractor.from_pretrained(mod)
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  model3 = AutoModelForImageClassification.from_pretrained(mod)
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  input = feature_extractor3(image, return_tensors="pt")
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  with torch.no_grad():