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0f1f754
1
Parent(s):
0c55f72
Fetch usernames for U7 each time space is called (#1)
Browse files- Fetch usernames for U7 each time space is called (5ca15993e267476ab1ee751b29310eb647e26300)
Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.huggingface.co>
app.py
CHANGED
@@ -18,7 +18,6 @@ def pass_emoji(passed):
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api = HfApi()
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USERNAMES_DATASET_ID = "huggingface-course/audio-course-u7-hands-on"
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HF_TOKEN = os.environ.get("HF_TOKEN")
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U7_USERNAMES = hf_hub_download(USERNAMES_DATASET_ID, repo_type = "dataset", filename="usernames.csv", token=HF_TOKEN)
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def get_user_models(hf_username, task):
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@@ -201,7 +200,8 @@ def certification(hf_username):
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unit["passed"] = pass_emoji(unit["passed_"])
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except: print("Either no relevant models found, or no metrics in the model card for automatic speech recognition")
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case "demo":
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-
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if hf_username in u7_users['username']:
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unit["best_result"] = 0
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unit["best_model_id"] = "Demo check passed, no model id"
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api = HfApi()
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USERNAMES_DATASET_ID = "huggingface-course/audio-course-u7-hands-on"
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HF_TOKEN = os.environ.get("HF_TOKEN")
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def get_user_models(hf_username, task):
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unit["passed"] = pass_emoji(unit["passed_"])
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except: print("Either no relevant models found, or no metrics in the model card for automatic speech recognition")
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case "demo":
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+
u7_usernames = hf_hub_download(USERNAMES_DATASET_ID, repo_type = "dataset", filename="usernames.csv", token=HF_TOKEN)
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u7_users = pd.read_csv(u7_usernames)
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if hf_username in u7_users['username']:
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unit["best_result"] = 0
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unit["best_model_id"] = "Demo check passed, no model id"
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