aljaz/scale-gke-qdrant-llama
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Benito Martin
2024-06-30 16:01:19 +02:00
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@@ -81,7 +81,18 @@ The Python version used for this project is Python 3.10. You can follow along th
make install make install
``` ```
4. You can test the app locally running: 4. Make sure the `.env` file is complete:
```bash
OPENAI_API_KEY=
QDRANT_API_KEY=
QDRANT_URL=
COLLECTION_NAME=
ACCESS_TOKEN=
GITHUB_USERNAME=
```
5. You can test the app locally running:
```bash ```bash
uvicorn app:app --host 0.0.0.0 --port 8000 uvicorn app:app --host 0.0.0.0 --port 8000
@@ -92,18 +103,7 @@ The Python version used for this project is Python 3.10. You can follow along th
http://localhost:8000/docs http://localhost:8000/docs
http://127.0.0.1:8000/docs http://127.0.0.1:8000/docs
5. Create **GCP Account**, project, service account key, and activate GKE API 6. Create **GCP Account**, project, service account key, and activate GKE API
6. Make sure the `.env` file is complete:
```bash
OPENAI_API_KEY=
QDRANT_API_KEY=
QDRANT_URL=
COLLECTION_NAME=
ACCESS_TOKEN=
GITHUB_USERNAME=
```
7. Add the following secrets into github: 7. Add the following secrets into github:
```bash ```bash