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Runtime error
smartinezbragado
commited on
Commit
•
58c2772
1
Parent(s):
950bf93
Upload 3 files
Browse files- app.py +13 -0
- requirements.txt +58 -0
- views.py +75 -0
app.py
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import os
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from flask import Flask
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from views import views
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app = Flask(__name__)
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app.register_blueprint(views, url_prefix='/reddit-app')
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@app.route('/', methods=['POST', 'GET'])
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def reddit_app_home():
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return
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if __name__ == '__main__':
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app.run(debug=True, port=8000, host='0.0.0.0')
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requirements.txt
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-i https://pypi.org/simple
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bertopic==0.13.0
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certifi==2022.12.7 ; python_version >= '3.6'
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charset-normalizer==3.0.1
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click==8.1.3 ; python_version >= '3.7'
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cython==0.29.33 ; python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2'
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filelock==3.9.0 ; python_version >= '3.7'
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flask==2.2.2
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hdbscan==0.8.29
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huggingface-hub==0.11.1 ; python_full_version >= '3.7.0'
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idna==3.4 ; python_version >= '3.5'
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importlib-metadata==6.0.0 ; python_version < '3.10'
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itsdangerous==2.1.2 ; python_version >= '3.7'
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jinja2==3.1.2 ; python_version >= '3.7'
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joblib==1.2.0 ; python_version >= '3.7'
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llvmlite==0.39.1 ; python_version >= '3.7'
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markupsafe==2.1.1 ; python_version >= '3.7'
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nltk==3.8.1 ; python_version >= '3.7'
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numba==0.56.4 ; python_version >= '3.7'
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numpy==1.23.5 ; python_version >= '3.8'
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nvidia-cublas-cu11==11.10.3.66 ; platform_system == 'Linux'
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nvidia-cuda-nvrtc-cu11==11.7.99 ; platform_system == 'Linux'
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nvidia-cuda-runtime-cu11==11.7.99 ; platform_system == 'Linux'
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nvidia-cudnn-cu11==8.5.0.96 ; platform_system == 'Linux'
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packaging==23.0 ; python_version >= '3.7'
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pandas==1.5.2
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pillow==9.4.0 ; python_version >= '3.7'
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plotly==5.12.0 ; python_version >= '3.6'
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praw==7.6.1
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prawcore==2.3.0 ; python_version ~= '3.6'
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pynndescent==0.5.8
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python-dateutil==2.8.2 ; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'
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python-dotenv==0.21.0
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pytz==2022.7.1
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pyyaml==5.4.1 ; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'
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regex==2022.10.31 ; python_version >= '3.6'
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requests==2.28.2 ; python_version >= '3.7' and python_version < '4'
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scikit-learn==1.2.0 ; python_version >= '3.8'
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scipy==1.10.0 ; python_version < '3.12' and python_version >= '3.8'
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sentence-transformers==2.2.2 ; python_full_version >= '3.6.0'
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sentencepiece==0.1.97
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setuptools==66.0.0 ; python_version >= '3.7'
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six==1.16.0 ; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'
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tenacity==8.1.0 ; python_version >= '3.6'
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threadpoolctl==3.1.0 ; python_version >= '3.6'
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tokenizers==0.13.2
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torch==1.13.1 ; python_full_version >= '3.7.0'
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torchvision==0.14.1 ; python_version >= '3.7'
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tqdm==4.64.1 ; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
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transformers==4.25.1 ; python_full_version >= '3.7.0'
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typing-extensions==4.4.0 ; python_version >= '3.7'
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umap-learn==0.5.3
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update-checker==0.18.0
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urllib3==1.26.14 ; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'
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websocket-client==1.4.2 ; python_version >= '3.7'
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werkzeug==2.2.2 ; python_version >= '3.7'
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wheel==0.38.4 ; python_version >= '3.7'
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zipp==3.11.0 ; python_version >= '3.7'
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views.py
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import os
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import pandas as pd
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import tempfile
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from bertopic import BERTopic
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from src.reddit import RedditBot
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from flask import Blueprint, render_template, request, send_file, redirect, url_for, send_from_directory
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DOWNLOADS_PATH = os.path.join(os.getcwd(), 'downloads')
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views = Blueprint(__name__, 'views')
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reddit = RedditBot()
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topic_model = BERTopic()
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def retrieve_subreddits(data: dict) -> pd.DataFrame:
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# Retrieve subreddits through its API
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posts = reddit.get_subreddits_posts(
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name=data.get('subreddit'),
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type=data.get('type'),
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amount=int(data.get('amount'))
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)
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df = reddit.convert_posts_to_df(posts=posts)
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df['Text'] = df.apply(lambda row: row.Title + ': ' + row.Content, axis=1)
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return df
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@views.route('/', methods=['POST', 'GET'])
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def home():
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data = request.form
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if request.method == 'POST':
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if (int(data.get('amount')) < 0 or int(data.get('amount')) > 1000):
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return redirect(url_for('views.error', type_of_error='amount'))
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elif data.get('type') not in ['hot', 'new', 'rising', 'top']:
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print(data.get('type'))
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return redirect(url_for('views.error', type_of_error='type'))
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elif not reddit.subreddit_exists(data.get('subreddit')):
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return redirect(url_for('views.error', type_of_error='subreddit'))
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else:
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# Retrieve subreddits
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subreddits_df = retrieve_subreddits(data=data)
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# Topic modelling using BERTtopic
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_, _ = topic_model.fit_transform(subreddits_df.Text)
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topics_df = topic_model.get_topic_info()
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for t in topics_df.Topic:
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topics_df.loc[topics_df.Topic == t, 'Top words'] = str([w for w, p in topic_model.get_topic(t)])
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# Donwload topics
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topics_df.to_csv(os.path.join(DOWNLOADS_PATH, 'topics.csv'), index=False)
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send_from_directory(
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directory = DOWNLOADS_PATH,
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path = 'topics.csv',
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as_attachment=True,
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)
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# Download docs info
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docs_df = topic_model.get_document_info(subreddits_df.Text)
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docs_df.to_csv(os.path.join(DOWNLOADS_PATH, 'docs_with_topics_info.csv'), index=False)
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send_from_directory(
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directory = DOWNLOADS_PATH,
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path = 'docs_with_topics_info.csv',
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as_attachment=True,
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)
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return redirect(url_for('views.success'))
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return render_template('index.html')
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@views.route('/succes', methods=['GET'])
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def success():
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return render_template('success.html')
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@views.route('/error/<type_of_error>', methods=['GET'])
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def error(type_of_error: str):
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if type_of_error == 'amount':
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return render_template('error.html', type_of_error='The amount is higher than 1000 or lower than 0')
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elif type_of_error == 'type':
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return render_template('error.html', type_of_error='The ordering is not within hot, rising, new, top')
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elif type_of_error == 'subreddit':
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return render_template('error.html', type_of_error='The subreddit does not exist')
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