This project demonstrates the creation of a "Text to Image" application using Python, OpenAI, and Streamlit. The following technologies and services are used:

• Streamlit as a server and handling front end.
• OpenAI API key from OpenAI.
• DALL.E-2 model for text-to-image generation.
• AWS EC2 for deployment (24/7 running).

1. Create free accounts on OpenAI and AWS.
2. Create a Streamlit App.
3. Create an EC2 instance on AWS.
4. Git clone this repository on the EC2 instance.
5. Install the requirements.
6. Use the OPENAI_API_KEY in your code (avoid using static values, use global variables).
7. Run the script on the EC2 instance.

To use this project:

1. Clone the repository.
2. Open a terminal in the working directory.
3. Run the following command to install the required dependencies:

   pip install -r requirements.txt
   

4. Set the OPENAI_API_KEY as a global variable in your environment (replace -------API KEY-------- with your actual API key):

   export OPENAI_API_KEY="-------API KEY--------"
   

5. The App.py file contains the Streamlit application.
6. Run the script with the following command:

   nohup python3 streamlit run App.py --server.port 80
   

7. To stop the running application:
   • Get the process ID of the running process:

     ps -ef 
     

   • Kill the process using its ID:

     kill [PROCESS_ID]
     

For a more detailed explanation of this project, refer to the tutorial on the Machine Learning Hub YouTube channel.

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• Buy me a Coffee☕
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