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Runtime error
Update app.py
#4
by
roopalgarg
- opened
app.py
CHANGED
@@ -12,13 +12,14 @@ except:
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pass
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auth_token = os.environ.get('HF_TOKEN', None)
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if not auth_token:
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raise ValueError("could not authenticate the user.")
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_SELECTOR_TO_DATASET = {
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"IIW-400": iiw_400,
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@@ -36,7 +37,7 @@ def display_iiw_data_with_slider_change(dataset_type, index):
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image_url_key = "image/thumbnail_url"
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image_key = "image"
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logging.
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data = _SELECTOR_TO_DATASET[dataset_type][dataset_split][index]
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image_html = f'<img src="{data[image_url_key]}" style="width:100%; max-width:800px; height:auto;">'
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image_key_html = f"<p style='font-size: 10px'>Image Key: {data[image_key]}</p>"
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@@ -78,7 +79,7 @@ def max_index(dataset_type):
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if dataset_type == "LocNar_Eval":
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dataset_split = "validation"
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logging.
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dataset_instance =_SELECTOR_TO_DATASET[dataset_type][dataset_split]
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return len(dataset_instance)
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pass
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auth_token = os.environ.get('HF_TOKEN', None)
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try:
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iiw_400 = load_dataset('google/imageinwords', token=auth_token, trust_remote_code=True, name="IIW-400")
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docci_test = load_dataset('google/imageinwords', token=auth_token, trust_remote_code=True, name="DOCCI_Test")
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locnar_eval = load_dataset('google/imageinwords', token=auth_token, trust_remote_code=True, name="LocNar_Eval")
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cm_3600 = load_dataset('google/imageinwords', token=auth_token, trust_remote_code=True, name="CM_3600")
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except Exception as e:
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logging.error("could you fetch the datasets with error: %s", e)
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_SELECTOR_TO_DATASET = {
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"IIW-400": iiw_400,
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image_url_key = "image/thumbnail_url"
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image_key = "image"
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logging.debug(f"SELECTION: {dataset_type} : {dataset_split}: {index}")
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data = _SELECTOR_TO_DATASET[dataset_type][dataset_split][index]
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image_html = f'<img src="{data[image_url_key]}" style="width:100%; max-width:800px; height:auto;">'
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image_key_html = f"<p style='font-size: 10px'>Image Key: {data[image_key]}</p>"
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if dataset_type == "LocNar_Eval":
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dataset_split = "validation"
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logging.debug(f"SELECTION: {dataset_type} : {dataset_split}")
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dataset_instance =_SELECTOR_TO_DATASET[dataset_type][dataset_split]
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return len(dataset_instance)
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