Stream Lit local ChatBot

1. Install OLLAMA from it WebSite: https://ollama.com/
2. Run a OLLAMA model: $ ollama run llama3.2
3. Install Python3
   1. MacOS: already installed
   2. Windows: download it from the site: https://www.python.org/downloads/
4. Install pip3
   1. MacOS: already installed
   2. Windows:
      1. > curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
      2. > python get-pip.py
5. Install+Generate+Activate pyenv:
   1. create your local venv:
      1. Windows:
         1. CMD: > python -m venv venv
         2. GitBash: $ python -m venv venv
      2. MacOS: $ python3 -m venv venv
   2. activate your local venv:
      1. MacOS: $ source venv/bin/activate
      2. Windows:
         1. GitBash: > source venv/Scripts/activate
         2. CMD: > venv\Scripts\activate
   3. install depnendencies:
      1. $ brew install cmake apache-arrow
      2. $ pip install -r requirements.txt
6. Run StreamLit: $ streamlit run app.py
7. PS.:
   1. before running the streamlit:app on PyCharm it is necessary to run the command directly on the Terminal
   2. on the terminal input/insert your email to sign on it
8. PyCharm Debug:
   1. create a config run
   2. if it raise any error on run/debug just delete and create a new run file:
      1. set it to module instead of script
      2. module value = streamlit
      3. script parameters = run app.py
   3. IF errors like: "asyncio\base_events.py:182" or "Python\Python312\Lib\asyncio\events.py", line 88" you must disable python.debug.asyncio.repl:
      1. click on seach icon (top right near to close button X)
      2. type on the search input: "registry" and click on "registry..."
      3. look for python.debug.asyncio.repl and uncheck the checkbox

Folders Structure

1. experiments: some backup code for reference future investigations
2. src: the application source code for long run
3. app.py: the application entry point