Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
test merge
Browse files
app.py
CHANGED
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@@ -80,6 +80,7 @@ async def on_ready():
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#await remove_huggingfolks() # to initialize
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#print(community_global_df_with_id)
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remove_huggingfolks.start()
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#await periodic_api_test()
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print(f"------------------------------------------------------------------------")
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except Exception as e:
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@@ -608,6 +609,52 @@ async def remove_huggingfolks():
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print(f"remove_huggingfolks Error: {e}")
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@bot.command(name='xp_help')
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async def xp_help(ctx):
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try:
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#await remove_huggingfolks() # to initialize
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#print(community_global_df_with_id)
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remove_huggingfolks.start()
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update_hub_stats.start()
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#await periodic_api_test()
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print(f"------------------------------------------------------------------------")
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except Exception as e:
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print(f"remove_huggingfolks Error: {e}")
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#---------------------------------------------------------------------------------------------
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# UPDATE dataframe WITH HFAPI INFO on a timer
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@tasks.loop(minutes=1)
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async def update_hub_stats():
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try:
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global global_df
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updated_df = global_df.copy()
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for index, user in global_df['hf_user_name'].iteritems():
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# fill blank values with n/a for now? then replace if they try to verify
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#column = global_df['hf_user_name']
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#for index, user in column:
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url = f"https://huggingface.co/api/users/{user}/overview"
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response = requests.get(url)
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if response.status_code == 200:
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data = response.json()
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likes = data["numLikes"]
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models = data["numModels"]
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datasets = data["numDatasets"]
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spaces = data["numSpaces"]
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discussions = data["numDiscussions"]
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papers = data["numPapers"]
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upvotes = data["numUpvotes"]
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#sheet1.update(f'I{i+1}:O{i+1}',[[likes, models, datasets, spaces, discussions, papers, upvotes]])
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# update df instead
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updated_df.loc[index, ['likes', 'models', 'datasets', 'spaces', 'discussions', 'papers', 'upvotes']] = [likes, models, datasets, spaces, discussions, papers, upvotes]
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print(f"updated row {i} for user {user}")
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else:
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print(f"Failed to retrieve data for user {user}. Status code: {response.status_code}")
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print global_df
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except Error as e:
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print(f"Failed to parse data for user {user}.")
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#---------------------------------------------------------------------------------------------
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@bot.command(name='xp_help')
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async def xp_help(ctx):
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try:
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