entrypoint.sh

#!/bin/bash

mkdir -p data

# # TEN Turn Detection
# HF_MODEL_PATH_1=TEN-framework/TEN_Turn_Detection
# HF_MODEL_NAME_1=$(basename ${HF_MODEL_PATH_1})
# LOCAL_MODEL_PATH_1=./data/${HF_MODEL_NAME_1}
# VLLM_SERVE_API_KEY_1=TEN_Turn_Detection

# HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download ${HF_MODEL_PATH_1} --local-dir ${LOCAL_MODEL_PATH_1}
# vllm serve ${LOCAL_MODEL_PATH_1} --served-model-name ${HF_MODEL_NAME_1} --api-key ${VLLM_SERVE_API_KEY_1} &

# Shisa V2
HF_MODEL_PATH=shisa-ai/shisa-v2-qwen2.5-7b
HF_MODEL_NAME=$(basename ${HF_MODEL_PATH})
LOCAL_MODEL_PATH=./data/${HF_MODEL_NAME}
VLLM_SERVE_API_KEY=Shisa_v2_Qwen2.5_7b

HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download ${HF_MODEL_PATH} --local-dir ${LOCAL_MODEL_PATH}
vllm serve ${LOCAL_MODEL_PATH} --served-model-name ${HF_MODEL_NAME} --api-key ${VLLM_SERVE_API_KEY} --port 8000 &

# Start frontend
export NEXT_PUBLIC_EDIT_GRAPH_MODE=false
cd /app/demo && npm run dev &

# Start backend
cd /app && task run