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Runtime error
Runtime error
Sharfy
commited on
Commit
·
4f9da92
1
Parent(s):
658aba2
Rebase
Browse files- README.md +2 -2
- app.py → bot.py +25 -5
README.md
CHANGED
@@ -5,8 +5,8 @@ colorFrom: red
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colorTo: gray
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sdk: gradio
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sdk_version: 3.33.1
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app_file:
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pinned:
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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colorTo: gray
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sdk: gradio
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sdk_version: 3.33.1
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app_file: bot.py
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pinned: true
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py → bot.py
RENAMED
@@ -1,5 +1,5 @@
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import discord
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from discord import Option
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import redis
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import os
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@@ -108,18 +108,37 @@ async def image(ctx, id):
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embed.set_image(url=path)
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await ctx.respond(embed=embed)
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@bot.command(
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description="Label image observation",
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options=[
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Option(name="id", description="The ID of the image"),
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Option(name="label", description="The label for the image"),
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Option(name="confidence", description="
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])
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async def label_image(ctx, id:int, label:str, confidence:
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label_cnt = generate_id(f'label:{id}')
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r.hset(f'label:{id}:{label_cnt}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'label:{id}:{label_cnt}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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-
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# Fetch the image data from Redis
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image_data_bytes = r.hgetall(f'image:{id}'.encode('utf-8'))
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@@ -132,7 +151,8 @@ async def label_image(ctx, id:int, label:str, confidence:int):
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embed.add_field(name="Sensor", value=image_data['sensor'], inline=True)
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embed.add_field(name="Label", value=image_data['label'], inline=True)
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embed.add_field(name="Proposed by", value=image_data['author'], inline=True)
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-
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improve_player_stats(ctx)
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import discord
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from discord import Option, commands
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import redis
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import os
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embed.set_image(url=path)
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await ctx.respond(embed=embed)
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def confAutocomplete(self: discord.AutocompleteContext):
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return ['low', 'medium', 'high']
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def get_conf_score(confidence: str):
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match confidence:
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case "low":
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return 0
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case "medium":
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return 1
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case "high":
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return 2
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case _:
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return 0
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@bot.command(
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description="Label image observation",
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options=[
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Option(name="id", description="The ID of the image"),
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Option(name="label", description="The label for the image"),
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Option(name="confidence", description="Choose your confidence", autocomplete=confAutocomplete)
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])
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async def label_image(ctx, id:int, label:str, confidence: str):
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label_cnt = generate_id(f'label:{id}')
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r.hset(f'label:{id}:{label_cnt}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'label:{id}:{label_cnt}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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conf_score = get_conf_score(confidence)
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r.hset(f'label:{id}:{label_cnt}'.encode('utf-8'), b'confidence', conf_score)
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r.hset(f'image:{id}'.encode('utf-8'), b'label', label.encode('utf-8'))
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r.hset(f'image:{id}'.encode('utf-8'), b'author', ctx.author.mention.encode('utf-8'))
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# Fetch the image data from Redis
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image_data_bytes = r.hgetall(f'image:{id}'.encode('utf-8'))
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embed.add_field(name="Sensor", value=image_data['sensor'], inline=True)
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embed.add_field(name="Label", value=image_data['label'], inline=True)
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embed.add_field(name="Proposed by", value=image_data['author'], inline=True)
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path = f'https://gainforest-transparency-dashboard.s3.amazonaws.com/{image_data["awsCID"]}'
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embed.set_image(url=path)
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improve_player_stats(ctx)
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