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1. ~~include graphs/charts~~
2. Automatically generate the most relevant chart (e.g., bar chart, line graph, pie chart) based on query content (in Tab 1)
3. include tables
4. fix prompts + report structure/content
5. ~~fix viz insights sectio~~
6. Allow users to download the report as PDF or TXT.
7. split the code into functional modules:
   - data_loader.py β†’ Handles dataset loading (CSV, Hugging Face)
   - sql_tools.py β†’ Contains SQL-related tools and database setup
   - agents.py β†’ Defines agents and their goals
   - app.py β†’ 
8. tab 1 -- Answer to the query + visualization specific to the query asked; tab 2 -- all the visualizations for the uploaded CSV/dataset.


final report should consist of:
overview, [yearly salary trends, location + remote work impact, company size consideration] + visual insights, conclusion)