feat: Add Ollama sentiment analysis and argument generation to speech processing
This commit adds functionality to the `llm_sentiment.py` script for sentiment analysis and argument generation using the Ollama library. The script now generates sentiment scores for each speech and stores them in the `llm_sentiment` field of the speech dictionary. Additionally, the script generates a list of arguments related to electric vehicles mentioned in each speech and stores them in the `llm_arguments` field. Finally, a detailed summary of what is said about electric vehicles in each speech is generated and stored in the `llm_summary` field.
These changes enhance the speech processing capabilities by providing sentiment analysis and extracting relevant arguments and summaries related to electric vehicles.
This commit updates the .gitignore file to include all Python files by using the `*.py` pattern. This change ensures that all Python files in the repository are tracked by Git.
Lasse Studion