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This project implements functionalities similar to GPT, allowing users to interact with a text generation model. Built with Streamlit, it provides a user-friendly interface. The backend leverages OpenAI's API for its core capabilities and DeepInfra AI for data access.

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Shreyas-Ashtamkar/mygpt

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GPT-like Text Generation with Streamlit

This project implements functionalities similar to GPT, allowing users to interact with a text generation model through a user-friendly interface built with Streamlit.

Features

  • Generate text based on user prompts.
  • Leverage OpenAI's powerful API for text generation.
  • Access data from DeepInfra AI to enhance generation capabilities (details about specific functionalities can be added here).

Setup

  1. Install dependencies:
pip install streamlit openai [other libraries you might use]
  1. Create a .env file to store your OpenAI API key (refer to OpenAI documentation for key generation).
OPENAI_API_KEY=your_api_key
  1. Run the application:
streamlit run streamlit_app.py

Note: Replace main.py with the actual filename of your script.

Usage

Open a web browser and navigate to http://localhost:8501/ (default Streamlit port). Interact with the text input field and generation button to experience the application.

License

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

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This project implements functionalities similar to GPT, allowing users to interact with a text generation model. Built with Streamlit, it provides a user-friendly interface. The backend leverages OpenAI's API for its core capabilities and DeepInfra AI for data access.

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