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Runtime error
Update app.py
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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(
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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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@@ -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(
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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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@@ -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(
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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("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():
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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():
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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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