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29from flask import Flask, render_template
import boto3
import json
app = Flask(__name__)
# AWS S3 client
s3 = boto3.client('s3')
bucket_name = 'your-bucket'
@app.route('/')
def index():
# Fetch data from S3
response = s3.list_objects_v2(Bucket=bucket_name, Prefix='tweet-sentiments/')
sentiments = []
for obj in response.get('Contents', []):
data = s3.get_object(Bucket=bucket_name, Key=obj['Key'])
sentiments.append(json.loads(data['Body'].read().decode('utf-8')))
# Aggregate data for visualization
sentiment_counts = {'positive': 0, 'negative': 0, 'neutral': 0}
for sentiment in sentiments:
sentiment_counts[sentiment['sentiment_analysis']] += 1
return render_template('index.html', sentiment_counts=sentiment_counts)
if __name__ == '__main__':
app.run(debug=True)