sharunnd/mood-analyzer

Mood Analyzer is a web application that allows you to analyze the mood of any text you provide. It uses OpenAI's GPT-3 model to perform sentiment analysis and provides you with the predicted mood of the text.

Mood Analyzer

Mood Analyzer is a web application that allows you to analyze the mood of any text you provide. It uses OpenAI's GPT-3 model to perform sentiment analysis and provides you with the predicted mood of the text.

Features

• Analyze the mood of any text input.
• Predict whether the text's mood is positive, negative, or neutral.
• User authentication system for signup and login.
• Securely store user data in a MongoDB database.

Tech stack

• Flask: A lightweight Python web framework.
• Flask-PyMongo: MongoDB integration for Flask.
• OpenAI API: Used for text analysis.
• HTML, CSS
• Python
• MongoDB Atlas: for storing user data.

Setup

Follow these steps to set up and run Mood Analyzer on your local machine:

1. Clone the Repository:

   git clone https://github.com/sharunnd/mood-analyzer.git
   cd mood-analyzer
   

2. Create a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install Dependencies:

   pip install -r requirements.txt
   

4. Set Environment Variables: Create a .env file in the project root directory and add the following variables:

   MONGO_URI=your_mongodb_connection_string
   SECRET_KEY=your_secret_key_for_sessions
   OPENAI_API_KEY=your_openai_api_key
   

5. Run the Application:

   python run.py
   

6. Access the Application: Open a web browser and go to http://localhost:5000

Usage

Enter text in the provided textarea. Click the "Analyze" button. The predicted mood of the text will be displayed.

Home Page

Signup Page

Login Page

Result Page