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Implemented a FastAPI web server (`app.py`) to serve the dashboard UI based on the provided design syntax. The frontend is built using HTML and Tailwind CSS (`templates/index.html`) with vanilla JavaScript (`static/main.js`) handling user interactions. The backend exposes two new API endpoints: - `POST /api/generate`: Runs the LangGraph pipeline to generate SQL. - `POST /api/execute`: Executes the generated SQL query and returns results. Dependencies `fastapi`, `uvicorn`, and `jinja2` were added to `requirements.txt`. Co-authored-by: ToheedAsghar <121859513+ToheedAsghar@users.noreply.github.com>
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This PR adds a web-based dashboard for the NL2SQL AI tool.
Changes:
app.pywith a FastAPI server./api/generateand/api/executeendpoints to interact with the existing LangGraph pipeline and database connector.web/templates/index.htmlusing the provided design reference.web/static/main.jsto handle form submissions, API calls, and dynamic rendering of SQL results and analysis.requirements.txtwith necessary dependencies.PR created automatically by Jules for task 11740543770593933748 started by @ToheedAsghar