This project contains a single Python file that uses requests, schedule, Twilio, and langchain to process a request made to an LLM server. This LLM server generates a list of 5 SaaS ideas and texts it to the user every 3 hours using the schedule library and a while True loop.

Before you begin, ensure you have met the following requirements:

You have installed the latest version of Python3.

You have installed the following packages: requests,Twilio , schedule and langchain

You have installed Ollama using Windows Subsystem for Linux (WSL) with this command: curl https://ollama.ai/install.sh | sh

To install ideas-texted-to-you, follow these steps:

Clone the repository to your local machine.

Navigate to the directory containing the requirements.txt file.

Run pip install -r requirements.txt to install the required packages. Using ideas-texted-to-you To use ideas-texted-to-you, follow these steps:

Start Ollama with ollama serve

Download the local AI model you would like to use (in this case, I used mistral-openorca) with this command: ollama pull mistral-openorca.

Run the model you just downloaded with ollama run mistral-openorca

Edit the Python file and change the account_sid, the auth_token, the from_='YourTwilioPhoneNum', and the to='YourPhoneNum' to your information.

Run the Python file using python text-list.py.

The LLM server will generate a list of 5 SaaS ideas and text them to the user every 3 hours.

To contribute to ideas-texted-to-you, follow these steps:

Fork this repository.

Create a branch: git checkout -b <branch_name>.

Make your changes and commit them: git commit -m '<commit_message>'

Push to the original branch: git push origin ideas-texted-to-you

Create the pull request.

If you want to contact me you can reach me at jaxcreatesstuff@gmail.com.