Email Generator GPT is an interactive web application designed to leverage OpenAI's GPT models for generating customized email responses. Users can input their email-related queries, select the tone and model of their preference, and receive a tailored email response. This application aims to streamline the email drafting process, offering a variety of tones and styles by utilizing the advanced capabilities of GPT-3.5 and other models.
- Custom Email Queries: Users can input specific scenarios or content they want to include in their emails.
- Tone Selection: Offers a variety of tones such as formal, friendly, or assertive to match the user's desired communication style.
- Model Selection: Ability to choose from multiple GPT models including the latest GPT-3.5-turbo and others like Davinci and Curie versions.
- Word Limit Customization: Users can set the desired length of the email response.
- Real-time Feedback and Editing: Users can view, edit, and download the generated email response.
- Feedback Mechanism: A built-in feature to collect user feedback to improve the application.
- Real-time Dashboard: Visual representation of the usage metrics and popular tones chosen by users.
- Set Up: Users start by entering their email query into the text area provided.
- Customize: Select the desired tone, AI model, and word limit for the email response.
- Generate: Click "Generate Email Response" to receive a custom email based on the inputs.
- Edit & Download: Users can edit the generated response and download it as a text file for use.
- Streamlit: For creating the web application interface.
- OpenAI's GPT Models: The core AI models used for generating email content.
- Pyrebase: A simple python interface to Firebase for storing user queries and responses.
- Requests: To handle HTTP requests for the feedback form.
- Plotly: For creating interactive, real-time dashboards to display usage statistics.
To run this project locally, you will need:
- Python 3.6+
- Access to OpenAI API and Firebase.
Install the required Python libraries:
pip install streamlit openai pyrebase requests plotly
