# Build and deploy CodeGen Application on AMD GPU (ROCm)

## Build images

### Build the LLM Docker Image

```bash
### Cloning repo
git clone https://github.com/opea-project/GenAIComps.git
cd GenAIComps

### Build Docker image
docker build -t opea/llm-tgi:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/llms/text-generation/tgi/Dockerfile .
```

### Build the MegaService Docker Image

```bash
### Cloning repo
git clone https://github.com/opea-project/GenAIExamples
cd GenAIExamples/CodeGen

### Build Docker image
docker build -t opea/codegen:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
```

### Build the UI Docker Image

```bash
cd GenAIExamples/CodeGen/ui
### Build UI Docker image
docker build -t opea/codegen-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .

### Build React UI Docker image (React UI allows you to use file uploads)
docker build --no-cache -t opea/codegen-react-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile.react .
```

It is recommended to use the React UI as it works for downloading files. The use of React UI is set in the Docker Compose file

## Deploy CodeGen Application

### Features of Docker compose for AMD GPUs

1. Added forwarding of GPU devices to the container TGI service with instructions:

```yaml
shm_size: 1g
devices:
  - /dev/kfd:/dev/kfd
  - /dev/dri/:/dev/dri/
cap_add:
  - SYS_PTRACE
group_add:
  - video
security_opt:
  - seccomp:unconfined
```

In this case, all GPUs are thrown. To reset a specific GPU, you need to use specific device names cardN and renderN.

For example:

```yaml
shm_size: 1g
devices:
  - /dev/kfd:/dev/kfd
  - /dev/dri/card0:/dev/dri/card0
  - /dev/dri/render128:/dev/dri/render128
cap_add:
  - SYS_PTRACE
group_add:
  - video
security_opt:
  - seccomp:unconfined
```

To find out which GPU device IDs cardN and renderN correspond to the same GPU, use the GPU driver utility

### Go to the directory with the Docker compose file

```bash
cd GenAIExamples/CodeGen/docker_compose/amd/gpu/rocm
```

### Set environments

In the file "GenAIExamples/CodeGen/docker_compose/amd/gpu/rocm/set_env.sh " it is necessary to set the required values. Parameter assignments are specified in the comments for each variable setting command

```bash
chmod +x set_env.sh
. set_env.sh
```

### Run services

```
docker compose up -d
```

# Validate the MicroServices and MegaService

## Validate TGI service

```bash
curl http://${HOST_IP}:${CODEGEN_TGI_SERVICE_PORT}/generate \
  -X POST \
  -d '{"inputs":"Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception.","parameters":{"max_new_tokens":256, "do_sample": true}}' \
  -H 'Content-Type: application/json'
```

## Validate LLM service

```bash
curl http://${HOST_IP}:${CODEGEN_LLM_SERVICE_PORT}/v1/chat/completions\
  -X POST \
  -d '{"query":"Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception.","max_tokens":256,"top_k":10,"top_p":0.95,"typical_p":0.95,"temperature":0.01,"repetition_penalty":1.03,"streaming":true}' \
  -H 'Content-Type: application/json'
```

## Validate MegaService

```bash
curl http://${HOST_IP}:${CODEGEN_BACKEND_SERVICE_PORT}/v1/codegen -H "Content-Type: application/json" -d '{
  "messages": "Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception."
  }'
```