# SearchQnA Docker Image Build

## Table of Contents

1. [Build MegaService Docker Image](#build-megaservice-docker-image)
2. [Build UI Docker Image](#build-ui-docker-image)
3. [Generate a HuggingFace Access Token](#generate-a-huggingface-access-token)
4. [Troubleshooting](#troubleshooting)

## Build MegaService Docker Image

To build the SearchQnA Megaservice, use the [GenAIExamples](https://github.com/opea-project/GenAIExamples.git) repository.
Use the following command to build the Megaservice Docker image:

```bash
git clone https://github.com/opea-project/GenAIExamples.git
cd GenAIExamples/SearchQnA
docker build --no-cache -t opea/searchqna:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
```

## Build UI Docker Image

Build frontend Docker image via below command:

```bash
cd GenAIExamples/SearchQnA/ui
docker build -t opea/searchqna-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .
```

## Generate a HuggingFace Access Token

Some HuggingFace resources require an access token. Developers can create one by first signing up on [HuggingFace](https://huggingface.co/) and then generating a [user access token](https://huggingface.co/docs/transformers.js/en/guides/private#step-1-generating-a-user-access-token).

## Troubleshooting

1. If errors such as "Access Denied" occur, validate the [microservice](/GenAIExamples/ChatQnA/docker_compose/intel/cpu/xeon/README.md#validate-microservices) that is querying the embed API. A simple example:

   ```bash
   http_proxy=""
   curl http://${host_ip}:3001/embed \
       -X POST \
       -d '{"inputs":"What is Deep Learning?"}' \
       -H 'Content-Type: application/json'
   ```

2. (Docker only) If all microservices work well, check the port ${host_ip}:3008, the port might already be in use by another service, you can modify the `compose.yaml`.

3. (Docker only) If you get errors like "The container name is in use", change container name in `compose.yaml`.