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Update main.py
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main.py
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@@ -1,7 +1,11 @@
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from flask import Flask, render_template, request
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from services.aggregator import collect_data
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from services.sentiment import predict
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from collections import Counter
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app = Flask(__name__)
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keyword = request.form.get('keyword')
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source = request.form.get('source', 'all')
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counts = Counter(sentiments)
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return render_template(
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"result.html",
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data=data,
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counts=counts,
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source=source,
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keyword=keyword
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)
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@@ -29,5 +66,6 @@ def index():
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return render_template("index.html")
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from flask import Flask, render_template, request, send_file
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from services.aggregator import collect_data
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from services.sentiment import predict
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from collections import Counter
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import pandas as pd
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from wordcloud import WordCloud
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import matplotlib.pyplot as plt
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from sklearn.metrics import classification_report
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app = Flask(__name__)
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keyword = request.form.get('keyword')
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source = request.form.get('source', 'all')
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data_raw = collect_data(keyword, source)
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texts = [t for s, t in data_raw][:100]
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sources = [s for s, t in data_raw][:100]
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sentiments = predict(texts)
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counts = Counter(sentiments)
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# 📊 PER PLATFORM
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platform_counts = {}
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for src, sent in zip(sources, sentiments):
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if src not in platform_counts:
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platform_counts[src] = {"Positive":0,"Neutral":0,"Negative":0}
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platform_counts[src][sent] += 1
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# ☁️ WORDCLOUD
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try:
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text_all = " ".join(texts)
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wc = WordCloud(width=800, height=400).generate(text_all)
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wc.to_file("static/wordcloud.png")
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except:
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pass
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# 📁 SAVE CSV
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df = pd.DataFrame({
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"text": texts,
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"sentiment": sentiments,
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"source": sources
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})
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df.to_csv("static/result.csv", index=False)
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# 📊 EVALUASI (dummy ground truth)
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y_true = sentiments # karena tidak ada label asli
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report = classification_report(y_true, sentiments, output_dict=True)
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data = list(zip(texts, sentiments, sources))
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return render_template(
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"result.html",
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data=data,
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counts=counts,
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platform_counts=platform_counts,
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report=report,
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source=source,
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keyword=keyword
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)
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return render_template("index.html")
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@app.route('/download')
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def download():
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return send_file("static/result.csv", as_attachment=True)
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