AI Feedback Form

An intelligent feedback collection system that uses OpenAI to generate dynamic follow-up questions based on user responses.

Features

• Beautiful UI with Tailwind CSS
• Dynamic question generation
• Progress tracking
• Automated follow-up questions using AI
• Secure data storage

Setup

1. Clone the repository:

git clone https://github.com/2004yash/AI-Feedback-form
cd AI-Feedback-form

2. Install dependencies:

pip install -r requirements.txt

3. Create a .env.local file in the root directory with the following variables:

FLASK_SECRET_KEY=your-secret-key
OPENAI_API_KEY=your-openai-api-key
DB_HOST=your-database-host
DB_USER=your-database-username
DB_PASSWORD=your-database-password
DB_NAME=your-database-name

4. Set up the database:

CREATE TABLE questions (
    id INT PRIMARY KEY AUTO_INCREMENT,
    question_text TEXT NOT NULL
);

CREATE TABLE feedback_qna2 (
    id INT PRIMARY KEY AUTO_INCREMENT,
    kid_name VARCHAR(255) NOT NULL,
    phone_no VARCHAR(20) NOT NULL,
    ques TEXT NOT NULL,
    ans TEXT NOT NULL,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

5. Run the application:

python app.py

Environment Variables

• FLASK_SECRET_KEY: Secret key for Flask sessions
• OPENAI_API_KEY: Your OpenAI API key
• DB_HOST: MySQL database host
• DB_USER: Database username
• DB_PASSWORD: Database password
• DB_NAME: Database name

Tech Stack

• Flask
• MySQL
• OpenAI API
• Tailwind CSS

Contributing

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.