| --- |
| title: Angkit Sarma — Living CV |
| emoji: 🟡 |
| colorFrom: gray |
| colorTo: yellow |
| sdk: gradio |
| sdk_version: 6.20.0 |
| app_file: app.py |
| pinned: false |
| --- |
| |
| # Angkit Sarma — Living CV (Gradio) |
|
|
| An interactive résumé with a self-querying "Ask the CV" chat panel. |
|
|
| The retrieval engine is a real TF-IDF + cosine-similarity ranker (scikit-learn) |
| built directly over this résumé's own content — no external API keys, no |
| LLM calls, entirely self-contained in `app.py`. It's a small, visible version |
| of the same semantic-search thinking described in the Experience section. |
|
|
| ## Run locally |
|
|
| ```bash |
| pip install -r requirements.txt |
| python app.py |
| ``` |
|
|
| ## Deploy to Hugging Face Spaces |
|
|
| 1. Create a new Space → SDK: **Gradio** |
| 2. Upload `app.py`, `requirements.txt`, and this `README.md` |
| 3. The Space builds and launches automatically — no secrets required |
|
|
