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title: LaunchPadAI
emoji: 🚀
colorFrom: green
colorTo: blue
sdk: docker
pinned: false
app_port: 7860
---
# LaunchPadAI Panel
An AI undergraduate internship and early-career assistant built on Neon AI's
Collaborative Conversational AI (CCAI) framework. Ask about Handshake/LinkedIn
search, resume polish, interview prep, application cadence, and networking —
and get diverse perspectives from a panel of five career AI advisors.
This repository is a **complete, deployable application** — the CCAI
multi-advisor stack (FastAPI backend + React frontend) wired to the
LaunchPadAI configuration in [`launchpad_config.yaml`](launchpad_config.yaml)
and the personas in [`personas/career_advisors/`](personas/career_advisors).
## Advisors
1. **Internship Search Strategist** — roles, platforms, target lists
2. **Resume Optimizer** — ATS, bullets, skills match
3. **Interview Coach** — prep, presence, company research
4. **Application Scheduler** — cadence, deadlines, tracking
5. **Career Path Mentor** — networking, pivot, full-time transition
## Hugging Face Spaces deployment
This Space ships as a single Docker image built from the repository-root
[`Dockerfile`](Dockerfile). The container:
1. Builds the React frontend (CRA) at image-build time with `REACT_APP_API_URL=""`
so every `fetch` issues a relative URL.
2. Serves the bundled SPA from FastAPI at `/`, with the API on `/api/...`,
`/auth/...`, etc. — all on the same `:7860` origin.
3. Persists user data (auth, profiles, chat sessions) in **SQLite via
`aiosqlite`** at `${DATA_DIR}/launchpad_panel.db`. Mount a Hugging Face
Storage Bucket at `/data` to make the database survive Space rebuilds.
There is **no MongoDB** and no third-party data plane.
### Required Space secrets
| Secret | Purpose |
|--------|---------|
| `JWT_SECRET_KEY` | Signs auth tokens. Set this to a long random string. |
| `OPENAI_API_KEY` | Powers the default OpenAI provider (`gpt-5.4-mini`). |
| `GEMINI_API_KEY` | Optional — only if you switch `llm.provider` back to `gemini`. |
Set these under **Settings → Variables and secrets** on the Space.
## Local deployment
### Option A — Docker
```bash
# From the repo root, create a .env with at least:
# JWT_SECRET_KEY=some-long-random-string
# OPENAI_API_KEY=your-openai-key
docker compose up --build
```
Open <http://localhost:7860>. Override the host port with `LAUNCHPAD_HOST_PORT` if
7860 is taken.
### Option B — Native (no Docker)
**Backend** (terminal 1):
```bash
cd multi_llm_chatbot_backend
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
CONFIG_PATH=../launchpad_config.yaml uvicorn app.main:app --reload --port 8000
```
**Frontend** (terminal 2):
```bash
cd phd-advisor-frontend
npm install
REACT_APP_API_URL=http://localhost:8000 npm start
```
Open <http://localhost:3000> — you should see **LaunchPadAI** with five career advisors.
## Configuration
App UI, login fields, chat examples, orchestrator keywords, and LLM/RAG
settings live in [`launchpad_config.yaml`](launchpad_config.yaml). The five
advisor YAMLs in `personas/career_advisors/` load automatically. Point the app at a
different config with `CONFIG_PATH`.
The workshop draft that generated this panel is saved as
[`advisor-panel-draft.json`](advisor-panel-draft.json).
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