Update README.md

README.md

@@ -1,57 +1,64 @@
-# Backend
-
-FastAPI backend service for CortexFlow.
-
-Joint collaboration repository by the MA2TIC group.
-
-Private codebase. Licensing context is defined in [../LICENSE](../LICENSE).
-
-## Design Profile
-
-- Deterministic feature extraction from transcript and pause signals
-- Confidence and quality notes for low-evidence samples
-- Non-diagnostic safety framing in generated output
-- Groq model usage limited to narrative/safety language, not synthetic metric creation
-
-## API Endpoints
-
-- `GET /health`
-- `GET /models/recommended`
-- `POST /analyze`
-
-`POST /analyze` payload shape:
-
-```json
-{
-  "input_value": "optional text input",
-  "transcript": "optional transcript input",
-  "pause_map": [0.32, 0.45],
-  "audio_duration": 24.8,
-  "session_id": "optional"
-}
-```
-
-Response format: streamed NDJSON with step and final events.
-
-## Hugging Face Spaces (Docker)
-
-Hosting target: Docker Space.
-
-Deployment profile:
-
-- Repository root in Space contains backend files (`main.py`, `requirements.txt`, `Dockerfile`, supporting modules)
-- Required secret: `GROQ_API_KEY`
-- Container runtime binds to `${PORT}` (default fallback configured in Dockerfile)
-- Health probe endpoint: `GET /health`
-
-## Local Development Reference
-
-```bash
-cd backend
-python -m venv .venv
-. .venv/Scripts/Activate.ps1
-pip install -r requirements.txt
-copy .env.example .env
-uvicorn main:app --reload --port 8000
-```
-
+title: CortexFlow Backend
+emoji: 🧠
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+app_port: 7860
+pinned: false
+# Backend
+
+FastAPI backend service for CortexFlow.
+
+Joint collaboration repository by the MA2TIC group.
+
+Private codebase. Licensing context is defined in [../LICENSE](../LICENSE).
+
+## Design Profile
+
+- Deterministic feature extraction from transcript and pause signals
+- Confidence and quality notes for low-evidence samples
+- Non-diagnostic safety framing in generated output
+- Groq model usage limited to narrative/safety language, not synthetic metric creation
+
+## API Endpoints
+
+- `GET /health`
+- `GET /models/recommended`
+- `POST /analyze`
+
+`POST /analyze` payload shape:
+
+```json
+{
+  "input_value": "optional text input",
+  "transcript": "optional transcript input",
+  "pause_map": [0.32, 0.45],
+  "audio_duration": 24.8,
+  "session_id": "optional"
+}
+```
+
+Response format: streamed NDJSON with step and final events.
+
+## Hugging Face Spaces (Docker)
+
+Hosting target: Docker Space.
+
+Deployment profile:
+
+- Repository root in Space contains backend files (`main.py`, `requirements.txt`, `Dockerfile`, supporting modules)
+- Required secret: `GROQ_API_KEY`
+- Container runtime binds to `${PORT}` (default fallback configured in Dockerfile)
+- Health probe endpoint: `GET /health`
+
+## Local Development Reference
+
+```bash
+cd backend
+python -m venv .venv
+. .venv/Scripts/Activate.ps1
+pip install -r requirements.txt
+copy .env.example .env
+uvicorn main:app --reload --port 8000
+```
+