- Clone the repository
- In the project directory, run
python3 -m venv venv
- Activate the virtual environment by running
source venv/bin/activate
- Install the requirements by running
pip3 install -r requirements.txt
. You can alternatively runpip3 install pandas
for a slimmed down environment. - In the terminal, run
python3 main.py
and insert the required input
To deactivate the virtual environment just run deactivate
.
If you prefer to run Python locally without a virtual environment, just run python3 main.py
after installing the requirements.
- You need a .csv file in the project directory with the betting data.
If you want to add a bet, just add a new row to the .csv file.
The format is as follows:
betcode | ownership | numbers |
---|---|---|
... | ... | ... |
49 | John Doe | 01 02 03 04 05 06 |
Which translates to:
49,John Doe,01 02 03 04 05 06
This process can be automated by using Google Gemini Pro Vision:
-
Go to Google AI Studio
-
On the right side, click "Models" and select "Gemini Pro Vision"
-
Add this prompt:
Agreggate the following bet numbers:
In the following format:
betcode,ownership,numbers 1,Person,12 19 31 34 51 58 2,Person,5 27 28 31 36 57 59 3,Person,4 8 15 16 23 42
Gemini Pro Vision will then automatically add the bet data and output it like this:
Then, you can just copy the output and paste it into the .csv file.