server.py

''' Executing this function initiates the application of sentiment
    analysis to be executed over the Flask channel and deployed on
    localhost:5000.
'''
# Import Flask, render_template, request from the flask pramework package : 
from flask import Flask, request, render_template
# Import the sentiment_analyzer function from the package created: 
from SentimentAnalysis.sentiment_analysis import sentiment_analyzer

#Initiate the flask app : 
app = Flask("Sentiment Analyzer")

@app.route("/sentimentAnalyzer")
def sent_analyzer():
    ''' This code receives the text from the HTML interface and 
        runs sentiment analysis over it using sentiment_analysis()
        function. The output returned shows the label and its confidence 
        score for the provided text.
    '''
    # Retrieve the text to analyze from the request arguments
    text_to_analyze = request.args.get('textToAnalyze')
    # Pass the text to the sentiment_analyzer function and store the response
    response = sentiment_analyzer(text_to_analyze)
    # Extract the label and score from the response
    label = response['label']
    score = response['score']
    # Check if the label is None, indicating an error or invalid input
    if label is None:
        return "Invalid input! Try again."
    else:
        # Return a formatted string with the sentiment label and score
        return "The given text has been identified as {} with a score of {}.".format(label.split('_')[1], score)

@app.route("/")
def render_index_page():
    ''' This function initiates the rendering of the main application
        page over the Flask channel
    '''
    return render_template("index.html")

if __name__ == "__main__":
    ''' This functions executes the flask app and deploys it on localhost:5000'''
    app.run(host="0.0.0.0", port=5000)