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Runtime error
Runtime error
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e57eb3d
1
Parent(s):
a8cf13d
Update app.py
Browse files
app.py
CHANGED
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@@ -271,9 +271,8 @@ def compute(sentences, version = 'v3'):
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if type(model_choice) == list:
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all_models_pred = []
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for model in model_choice:
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output = model.predict(sent)
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if version not in ["openlid-201", "GlotLID v3"]:
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-
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output_label = output[index]['label']
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output_prob = output[index]['score']
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output_label_language = output[index]['label']
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@@ -285,7 +284,7 @@ def compute(sentences, version = 'v3'):
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text=progress_text,
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)
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else:
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-
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output_label = output[0][0].split('__')[-1].replace('_Hans', '_Hani').replace('_Hant', '_Hani')
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output_prob = max(min(output[1][0], 1), 0)
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output_label_language = output_label.split('_')[0]
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@@ -310,8 +309,8 @@ def compute(sentences, version = 'v3'):
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)
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else:
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output = model_choice.predict(sent)
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if version not in ["openlid-201", "GlotLID v3"]:
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output_label = output[index]['label']
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output_prob = output[index]['score']
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output_label_language = output[index]['label']
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@@ -323,6 +322,7 @@ def compute(sentences, version = 'v3'):
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text=progress_text,
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)
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else:
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output_label = output[0][0].split('__')[-1].replace('_Hans', '_Hani').replace('_Hant', '_Hani')
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output_prob = max(min(output[1][0], 1), 0)
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output_label_language = output_label.split('_')[0]
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if type(model_choice) == list:
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all_models_pred = []
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for model in model_choice:
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if version not in ["openlid-201", "GlotLID v3"]:
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+
output = model.predict(sent)
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output_label = output[index]['label']
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output_prob = output[index]['score']
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output_label_language = output[index]['label']
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text=progress_text,
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)
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else:
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+
output = model.predict(sent)
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output_label = output[0][0].split('__')[-1].replace('_Hans', '_Hani').replace('_Hant', '_Hani')
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output_prob = max(min(output[1][0], 1), 0)
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output_label_language = output_label.split('_')[0]
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)
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else:
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if version not in ["openlid-201", "GlotLID v3"]:
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output = model_choice.predict(sent)
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output_label = output[index]['label']
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output_prob = output[index]['score']
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output_label_language = output[index]['label']
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text=progress_text,
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)
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else:
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output = model_choice.predict(sent)
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output_label = output[0][0].split('__')[-1].replace('_Hans', '_Hani').replace('_Hant', '_Hani')
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output_prob = max(min(output[1][0], 1), 0)
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output_label_language = output_label.split('_')[0]
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