46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
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from flask import Flask, render_template, request
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import advertools as ad
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import pandas as pd
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import json
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import sys
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app = Flask(__name__)
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@app.route('/linkedin', methods=['GET', 'POST'])
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def upload_file():
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return render_template('linkedin.html')
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@app.route('/linkedin_upload', methods=['POST'])
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def linkedin_upload():
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if request.method == 'POST':
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print("Files:\n", file=sys.stderr)
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print(dict(request.files.items()), file=sys.stderr)
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print("Forms:\n", file=sys.stderr)
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print(dict(request.form.items()), file=sys.stderr)
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f = request.files['linkedin_csv']
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type_linkedin = dict(request.form.items())['type_linkedin']
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file_csv = pd.read_csv(f)
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if type_linkedin == "Comments":
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corpus = [str(x) for x in file_csv['Message'].tolist()]
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elif type_linkedin == "Shares":
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corpus = [str(x) for x in
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file_csv['ShareCommentary'].tolist()]
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else:
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corpus = []
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emoji_summary_messages = {"emoji_counts": ad.extract_emoji(corpus).get(
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'top_emoji')}
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print(emoji_summary_messages, file=sys.stderr)
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return render_template("result.html", emoji_summary_messages=emoji_summary_messages)
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if __name__ == '__main__':
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app.run(debug=True)
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