/solution-code-sentiment-analyzer-project-forms

Primary LanguagePython

Solution Code: Sentiment Analysis Project - Working With Forms

This repository hosts a Flask application for sentiment analysis. The project demonstrates the creation and handling of a web form for sentiment analysis using Flask and WTForms.

Installation

  1. Clone this repository.
  2. Navigate to the project directory:
   cd flask_sentiment_analysis
  1. Set up a virtual environment (recommended):
    • For macOS and Linux:
     python -m venv sentiment_analyzer_project_env;
     source sentiment_analyzer_project_env/bin/activate;
  • For Windows:
     python -m venv sentiment_analyzer_project_env
     .\sentiment_analyzer_project_env\Scripts\activate
  1. Install the required packages:
   pip install -r requirements.txt

Project Structure

The project is organized into the following files:

  • app.py: Initializes the Flask application and defines routes for feedback form handling.
  • forms/forms.py: Contains the definition of FeedbackForm using WTForms.
  • templates/feedback.html: HTML template for the feedback form.
  • requirements.txt: Lists all the required Python packages for the project.

Running the Application

To run the Flask application:

python app.py
  • The application will be accessible at http://127.0.0.1:5001.
  • Navigate to /feedback to access and submit the feedback form.

Features

  1. Feedback Form:

    • Users can submit feedback which is then processed for sentiment analysis.
    • Access the feedback form: GET /feedback
    • Submit feedback: POST /feedback

  2. Sentiment Analysis:

    • The submitted feedback is analyzed to determine the sentiment.
    • Currently, this feature uses a placeholder function. Replace analyze_sentiment function in app.py with your actual sentiment analysis logic or API.

Customization

  • Update analyze_sentiment function in app.py to integrate actual sentiment analysis.
  • Modify feedback.html in templates to change the form layout and styling.

Notes

  • The project uses Flask and WTForms for web form handling.
  • The sentiment analysis functionality needs to be integrated with an actual model or API for meaningful results.