From 2f44b301fd4184f2458b1a8c53b949d4b152b307 Mon Sep 17 00:00:00 2001 From: Huiling Bao Date: Wed, 21 Aug 2024 22:57:46 +0800 Subject: [PATCH] Add video-llama LVM microservice under lvms (#495) Signed-off-by: BaoHuiling Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- comps/__init__.py | 1 + comps/cores/proto/docarray.py | 10 +- comps/lvms/video-llama/Dockerfile | 18 ++ comps/lvms/video-llama/README.md | 70 ++++++ comps/lvms/video-llama/check_lvm.py | 50 ++++ comps/lvms/video-llama/docker_compose.yaml | 40 +++ comps/lvms/video-llama/lvm.py | 80 ++++++ comps/lvms/video-llama/requirements.txt | 11 + .../video-llama/server/data/silence_girl.mp4 | Bin 0 -> 912586 bytes .../lvms/video-llama/server/docker/Dockerfile | 38 +++ .../server/docker/docker_compose_vllama.yaml | 25 ++ .../server/extract_vl_embedding.py | 41 +++ .../lvms/video-llama/server/requirements.txt | 34 +++ comps/lvms/video-llama/server/server.py | 238 ++++++++++++++++++ comps/lvms/video-llama/server/start.sh | 23 ++ .../video-llama/server/video-llama.patch.tar | Bin 0 -> 30720 bytes .../video_llama_eval_only_vl.yaml | 39 +++ tests/test_lvms_video-llama.sh | 95 +++++++ 18 files changed, 812 insertions(+), 1 deletion(-) create mode 100644 comps/lvms/video-llama/Dockerfile create mode 100644 comps/lvms/video-llama/README.md create mode 100644 comps/lvms/video-llama/check_lvm.py create mode 100644 comps/lvms/video-llama/docker_compose.yaml create mode 100644 comps/lvms/video-llama/lvm.py create mode 100644 comps/lvms/video-llama/requirements.txt create mode 100644 comps/lvms/video-llama/server/data/silence_girl.mp4 create mode 100644 comps/lvms/video-llama/server/docker/Dockerfile create mode 100644 comps/lvms/video-llama/server/docker/docker_compose_vllama.yaml create mode 100644 comps/lvms/video-llama/server/extract_vl_embedding.py create mode 100644 comps/lvms/video-llama/server/requirements.txt create mode 100644 comps/lvms/video-llama/server/server.py create mode 100644 comps/lvms/video-llama/server/start.sh create mode 100644 comps/lvms/video-llama/server/video-llama.patch.tar create mode 100644 comps/lvms/video-llama/server/video_llama_config/video_llama_eval_only_vl.yaml create mode 100755 tests/test_lvms_video-llama.sh diff --git a/comps/__init__.py b/comps/__init__.py index 873a7697a3..a5d00f9e07 100644 --- a/comps/__init__.py +++ b/comps/__init__.py @@ -18,6 +18,7 @@ RAGASScores, GraphDoc, LVMDoc, + LVMVideoDoc, ) # Constants diff --git a/comps/cores/proto/docarray.py b/comps/cores/proto/docarray.py index 9760d7d3ec..0d397dcb7b 100644 --- a/comps/cores/proto/docarray.py +++ b/comps/cores/proto/docarray.py @@ -5,7 +5,7 @@ import numpy as np from docarray import BaseDoc, DocList -from docarray.documents import AudioDoc +from docarray.documents import AudioDoc, VideoDoc from docarray.typing import AudioUrl from pydantic import Field, conint, conlist, field_validator @@ -170,3 +170,11 @@ class LVMDoc(BaseDoc): temperature: float = 0.01 repetition_penalty: float = 1.03 streaming: bool = False + + +class LVMVideoDoc(BaseDoc): + video_url: str + chunk_start: float + chunk_duration: float + prompt: str + max_new_tokens: conint(ge=0, le=1024) = 512 diff --git a/comps/lvms/video-llama/Dockerfile b/comps/lvms/video-llama/Dockerfile new file mode 100644 index 0000000000..b172a217a4 --- /dev/null +++ b/comps/lvms/video-llama/Dockerfile @@ -0,0 +1,18 @@ +# Copyright (C) 2024 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +FROM python:3.11-slim + +# Set environment variables +ENV LANG=en_US.UTF-8 + +COPY comps /home/comps + +RUN pip install --no-cache-dir --upgrade pip && \ + pip install --no-cache-dir -r /home/comps/lvms/video-llama/requirements.txt + +ENV PYTHONPATH=$PYTHONPATH:/home + +WORKDIR /home/comps/lvms/video-llama + +ENTRYPOINT ["python", "lvm.py"] \ No newline at end of file diff --git a/comps/lvms/video-llama/README.md b/comps/lvms/video-llama/README.md new file mode 100644 index 0000000000..43ec0bd188 --- /dev/null +++ b/comps/lvms/video-llama/README.md @@ -0,0 +1,70 @@ +# LVM Microservice + +This is a Docker-based microservice that runs Video-Llama as a Large Vision Model (LVM). It utilizes Llama-2-7b-chat-hf for conversations based on video dialogues. It support Intel Xeon CPU. + +# 🚀1. Start Microservice with Docker + +## 1.1 Build Images + +```bash +cd GenAIComps +# Video-Llama Server Image +docker build --no-cache -t opea/video-llama-lvm-server:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/video-llama/server/docker/Dockerfile . +# LVM Service Image +docker build --no-cache -t opea/lvm-video-llama:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/video-llama/Dockerfile . +``` + +## 1.2 Start Video-Llama and LVM Services + +For the very first run, please follow below steps: + +```bash +# prepare environment variables +export ip_address=$(hostname -I | awk '{print $1}') +export no_proxy=$no_proxy,${ip_address} +export LVM_ENDPOINT=http://${ip_address}:9009 +# Start service +docker compose -f comps/lvms/video-llama/docker_compose.yaml up -d +# it should take about 1.5 hours for the model to download in the video-llama server, assuming a maximum download speed of 100 Mbps +until docker logs video-llama-lvm-server 2>&1 | grep -q "Uvicorn running on"; do + sleep 5m +done +``` + +If you've run the microservice before, it's recommended to keep the downloaded model so it won't be redownloaded each time you run it. To achieve this, you need to modify the following configuration: + +```yaml +# comps/lvms/video-llama/docker_compose.yaml +services: + lvm-video-llama: + ... + environment: + llm_download: "False" # avoid download +``` + +# ✅ 2. Test + +```bash +# use curl +export ip_address=$(hostname -I | awk '{print $1}') +## check video-llama +http_proxy="" curl -X POST "http://${ip_address}:9009/generate?video_url=https%3A%2F%2Fgithub.com%2FDAMO-NLP-SG%2FVideo-LLaMA%2Fraw%2Fmain%2Fexamples%2Fsilence_girl.mp4&start=0.0&duration=9&prompt=What%20is%20the%20person%20doing%3F&max_new_tokens=150" -H "accept: */*" -d '' + +## check lvm +http_proxy="" curl -X POST http://${ip_address}:9000/v1/lvm -d '{"video_url":"https://github.com/DAMO-NLP-SG/Video-LLaMA/raw/main/examples/silence_girl.mp4","chunk_start": 0,"chunk_duration": 9,"prompt":"What is the person doing?","max_new_tokens": 150}' -H 'Content-Type: application/json' + +# or use python +export ip_address=$(hostname -I | awk '{print $1}') +python comps/lvms/video-llama/check_lvm.py +``` + +# ♻️ 3. Clean + +```bash +# remove the container +cid=$(docker ps -aq --filter "name=video-llama") +if [[ ! -z "$cid" ]]; then docker stop $cid && docker rm $cid && sleep 1s; fi +# remove the model volume (suggest to keep this to avoid download for each run) +if docker volume ls | grep -q video-llama-model; then docker volume rm video-llama_video-llama-model; fi + +``` diff --git a/comps/lvms/video-llama/check_lvm.py b/comps/lvms/video-llama/check_lvm.py new file mode 100644 index 0000000000..fcf6f6aeea --- /dev/null +++ b/comps/lvms/video-llama/check_lvm.py @@ -0,0 +1,50 @@ +# Copyright (C) 2024 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import datetime +import json +import os + +import requests + +ip_address = os.getenv("ip_address") +####### video-llama request ######## +print("video-llama request") +api_url = f"http://${ip_address}:9009/generate" +content = { + "video_url": "https://github.com/DAMO-NLP-SG/Video-LLaMA/raw/main/examples/silence_girl.mp4", + "start": 0.0, + "duration": 9, + "prompt": "What is the person doing?", + "max_new_tokens": 150, +} + +start = datetime.datetime.now() +with requests.post(api_url, params=content, stream=True) as response: + for chunk in response.iter_content(chunk_size=8192): + if chunk: + print(chunk.decode("utf-8"), end="", flush=True) # Flush to ensure immediate output + +end = datetime.datetime.now() +print(f"\nTotal time: {end - start}") + +####### lvm request ######## +print("lvm request") +api_url = f"http://${ip_address}:9000/v1/lvm" +headers = {"Content-Type": "application/json"} +data = { + "video_url": "https://github.com/DAMO-NLP-SG/Video-LLaMA/raw/main/examples/silence_girl.mp4", + "chunk_start": 0, + "chunk_duration": 9, + "prompt": "what is the person doing", + "max_new_tokens": 150, +} + +start = datetime.datetime.now() +with requests.post(api_url, headers=headers, data=json.dumps(data), stream=True) as response: + for chunk in response.iter_content(chunk_size=8192): + if chunk: + print(chunk.decode("utf-8"), end="", flush=True) # Flush to ensure immediate output + +end = datetime.datetime.now() +print(f"\nTotal time: {end - start}") diff --git a/comps/lvms/video-llama/docker_compose.yaml b/comps/lvms/video-llama/docker_compose.yaml new file mode 100644 index 0000000000..54aace84e7 --- /dev/null +++ b/comps/lvms/video-llama/docker_compose.yaml @@ -0,0 +1,40 @@ +# Copyright (C) 2024 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +version: "3" +services: + lvm-video-llama: + image: opea/video-llama-lvm-server:latest + container_name: video-llama-lvm-server + ports: + - "9009:9009" + ipc: host + environment: + http_proxy: ${http_proxy} + https_proxy: ${https_proxy} + no_proxy: ${no_proxy} + llm_download: "True" + volumes: + - "/home/$USER/.cache:/home/user/.cache" # RECOMMENDED: use local cache to avoid download + - video-llama-model:/home/user/model + restart: unless-stopped + + lvm: + image: opea/lvm-video-llama:latest + container_name: lvm-video-llama + ports: + - "9000:9000" + ipc: host + environment: + http_proxy: ${http_proxy} + https_proxy: ${https_proxy} + no_proxy: ${no_proxy} + LVM_ENDPOINT: ${LVM_ENDPOINT} + restart: unless-stopped + depends_on: + - lvm-video-llama +networks: + default: + driver: bridge +volumes: + video-llama-model: diff --git a/comps/lvms/video-llama/lvm.py b/comps/lvms/video-llama/lvm.py new file mode 100644 index 0000000000..1cbfcd5e1b --- /dev/null +++ b/comps/lvms/video-llama/lvm.py @@ -0,0 +1,80 @@ +# Copyright (C) 2024 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + + +# import json +import logging +import os + +import requests +from fastapi import HTTPException +from fastapi.responses import StreamingResponse + +from comps import LVMVideoDoc, ServiceType, opea_microservices, register_microservice, register_statistics + +# import time + + +logging.basicConfig(level=logging.INFO) + + +@register_microservice( + name="opea_service@lvm", + service_type=ServiceType.LVM, + endpoint="/v1/lvm", + host="0.0.0.0", + port=9000, + input_datatype=LVMVideoDoc, + output_datatype=StreamingResponse, +) +@register_statistics(names=["opea_service@lvm"]) +async def lvm(input: LVMVideoDoc): + """This function handles the LVM microservice, which generates text based on a video URL, start time, duration, prompt, and maximum new tokens. + + Parameters: + input (LVMVideoDoc): The input containing the video URL, start time, duration, prompt, and maximum new tokens. + + Returns: + StreamingResponse: A streaming response containing the generated text in text/event-stream format, or a JSON error response if the upstream API responds with an error. + """ + logging.info("[lvm] Received input") + + video_url = input.video_url + chunk_start = input.chunk_start + chunk_duration = input.chunk_duration + prompt = input.prompt + max_new_tokens = input.max_new_tokens + + params = { + "video_url": video_url, + "start": chunk_start, + "duration": chunk_duration, + "prompt": prompt, + "max_new_tokens": max_new_tokens, + } + logging.info(f"[lvm] Params: {params}") + + response = requests.post(url=f"{lvm_endpoint}/generate", params=params, proxies={"http": None}, stream=True) + logging.info(f"[lvm] Response status code: {response.status_code}") + if response.status_code == 200: + + def streamer(): + yield f"{{'video_url': '{video_url}', 'chunk_start': {chunk_start}, 'chunk_duration': {chunk_duration}}}\n".encode( + "utf-8" + ) + for chunk in response.iter_content(chunk_size=8192): + if chunk: + yield chunk + logging.info(f"[llm - chat_stream] Streaming: {chunk}") + logging.info("[llm - chat_stream] stream response finished") + + return StreamingResponse(streamer(), media_type="text/event-stream") + else: + logging.error(f"[lvm] Error: {response.text}") + raise HTTPException(status_code=500, detail="The upstream API responded with an error.") + + +if __name__ == "__main__": + lvm_endpoint = os.getenv("LVM_ENDPOINT") + + opea_microservices["opea_service@lvm"].start() 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repetition_penalty=1.0, + length_penalty=1, + temperature=0.02, + max_length=2000, + keep_conv_hist=True, + streamer=streamer, + ) + if "similar video" not in instruction: + logging.info("Resetting the chat history") + chat.clear() + logging.info("Video-Llama generation done, remove video.") + os.remove(video_path) + + +def stream_res(video, instruction, max_new_tokens): + logging.debug("Start to stream...") + thread = Thread(target=inference, args=(chat, streamer, video, instruction, max_new_tokens)) + thread.start() + for text in streamer: + yield text + + +def is_local_file(url): + """Returns True if url is a local file, False otherwise.""" + return not url.startswith("http://") and not url.startswith("https://") + + +@app.get("/health") +async def health() -> Response: + """Health check.""" + return Response(status_code=200) + + +@app.post("/generate", response_class=StreamingResponse) +async def generate( + video_url: str = Query(..., description="remote URL of the video to be processed"), + start: float = Query(..., description="video clip start time in seconds", examples=0.0), + duration: float = Query(..., description="video clip duration in seconds", examples=10.0), + prompt: str = Query(..., description="Query for Video-LLama", examples="What is the man doing?"), + max_new_tokens: int = Query(150, description="Maximum number of tokens to generate", examples=150), +) -> StreamingResponse: + if not is_local_file(video_url): + parsed_url = urlparse(video_url) + video_name = os.path.basename(parsed_url.path) + else: + video_name = os.path.basename(video_url) + + if video_name.lower().endswith(".mp4"): + logging.info(f"Format check passed, the file '{video_name}' is an MP4 file.") + else: + logging.info(f"Format check failed, the file '{video_name}' is not an MP4 file.") + return JSONResponse(status_code=400, content={"message": "Invalid file type. Only mp4 videos are allowed."}) + + if not is_local_file(video_url): + try: + video_path = os.path.join(VIDEO_DIR, video_name) + response = requests.get(video_url, stream=True) + + if response.status_code == 200: + with open(video_path, "wb") as file: + for chunk in response.iter_content(chunk_size=1024): + if chunk: # filter out keep-alive new chunks + file.write(chunk) + logging.info(f"File downloaded: {video_path}") + else: + logging.info(f"Error downloading file: {response.status_code}") + return JSONResponse(status_code=500, content={"message": "Error downloading file."}) + except Exception as e: + logging.info(f"Error downloading file: {response.status_code}") + return JSONResponse(status_code=500, content={"message": "Error downloading file."}) + else: + # check if the video exist + video_path = video_url + if not os.path.exists(video_path): + logging.info(f"File not found: {video_path}") + return JSONResponse(status_code=404, content={"message": "File not found."}) + video_info = videoInfo(start_time=start, duration=duration, video_path=video_path) + + # format context and instruction + instruction = f"{get_context(prompt,context_db)[0]}: {prompt}" + # logging.info("instruction:",instruction) + + return StreamingResponse(stream_res(video_info, instruction, max_new_tokens)) + + +# Main entry point +parser = argparse.ArgumentParser() +parser.add_argument("--host", type=str, default="0.0.0.0") +parser.add_argument("--port", type=int, default=9009) +args = parser.parse_args() + +context_db = construct_instructions() +video_llama = VL(cfg_path=CFG_PATH, model_type=MODEL_TYPE) +tokenizer = video_llama.model.llama_tokenizer +streamer = TextIteratorStreamer(tokenizer, skip_prompt=True) + +vis_processor_cfg = video_llama.cfg.datasets_cfg.webvid.vis_processor.train +vis_processor = registry.get_processor_class(vis_processor_cfg.name).from_config(vis_processor_cfg) + +chat = Chat(video_llama.model, vis_processor, device="cpu") + +uvicorn.run(app, host=args.host, port=args.port) diff --git a/comps/lvms/video-llama/server/start.sh b/comps/lvms/video-llama/server/start.sh new file mode 100644 index 0000000000..f016ad1a88 --- /dev/null +++ b/comps/lvms/video-llama/server/start.sh @@ -0,0 +1,23 @@ +# Copyright (C) 2024 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +# /bin/bash +# Download models +MODEL_REPO=https://huggingface.co/DAMO-NLP-SG/Video-LLaMA-2-7B-Finetuned +llm_download=${llm_download} +echo "llm_download: ${llm_download}" +if [ "$llm_download" = "True" ]; then + # clean if exists + rm -rf /home/user/model/Video-LLaMA-2-7B-Finetuned + + echo "Please wait for model download..." + git lfs install && git clone ${MODEL_REPO} /home/user/model/Video-LLaMA-2-7B-Finetuned + # rm Video-LLaMA-2-7B-Finetuned/AL*.pth Video-LLaMA-2-7B-Finetuned/imagebind_huge.pth +elif [ "$llm_download" = "False" ]; then + echo "No model download" +else + echo "llm_download should be True or False" + exit 1 +fi + +python server.py diff --git a/comps/lvms/video-llama/server/video-llama.patch.tar b/comps/lvms/video-llama/server/video-llama.patch.tar new file mode 100644 index 0000000000000000000000000000000000000000..7e9826f11313a858e976d74585747f3f429a183b GIT binary patch literal 30720 zcmeHQTW=dlcAjVbiVF20GN#%hsXK+0VJ3pd*CY%+3&Z1a99_#K z4YDwf3SWF~2llSyCnAOyR+8{6C455{5R(W6HX z$Kw~j5Zk@Iz3!2CM1T5yfhQ9=4Oa8acPB1};;BQ2_J*LJR4#|D&CShLcSCeG1a%;y zT?dMEe!tRfo4ehnnOqE8zl~QSNTdkFm7Fi9tGSp5(QFmW@F<#y>o5h$MUbW;L^H}f z(c0ktJhl*d|Iu8EEEX$JHKC>xkzGmZzY6ArRVJehj{^E7#VVDFSSB&CFYT6rQg1b6 z-uNcWu7Krrkc2Y374cMLLHafYq%fL^D9Ba`1~SNdAjc!ZaWnn+i7Eh}dZtCFpKz+> znVy2?^Q~08I(eQmP~2R(OiB%hm|^l==5Wgs-zyrDjNF9txfn^qvk4x6AK6U|4uJvS zA#0+LixJd_p0NB7pEU~L_F@SEa)6THrK{yKP9?;}#Y;moax+C=7KO?nfJUfmQNoz% z4J3ThrXbXl*VGu;Owk-h}Ux_dkQJjfH&Vx*iXRubY(v$TZU?6xFzYE8J zIuR3wA4cQ(Y9hr|kSs`D!)O{O3$~1^=kxH|AS~i&ek;N$PjU)_Ctz8_$f2Yjvnygu zI=Klk@84k&5@~QNi0x|3s{kNn6t8BOMLr&p%n%$pZAe3C;Jvkj zT+vSwgUZ8p>$}&_UbSEdPF}x0eSLoN^1Rj2Efz9OVUEzqJc*~%RA$4S?grb=gI>4a zgYi7v?e_P{c#h{V9^xr%&9NGU21@08>Mi1loWmgU-_kpnDjy6PW4Jg$o5J@}+i(Gl zu=W&t{Bj;H`=|8k*>y1g*1&3alp0wqnBD#&one$#D+j$P(kx#3H*qpa{cw`v^+gsZ z<0}uw6G*i$4hMUe9WRU9Je!HU4#(0^g}`spuhLHuLcf1-&=vioqrpKH(j`II!eX)| z#?TT-pNz&J8RP~+16`*D8f=9nzX@(ruYfwym+)UgP5f~ZW-SLzU8@hMFwNl<>jt(oG(d`^|_4N5bJBt2u?>l z5j(6wg~u1$y~~T8OEDZW6ptm59(XnaK z>YBeO_ZN=h@v^3Mj}YiWVwH$=#Ugm;NAkwc;U{Q^%B&hLjXs_x1$hE4pN=M7 z@m9(uZz}vNDEII@S;;O|odk@M$&iUq*62Fol|?3}phf;J3Kp?& zs@!>-8!PFe)#O-t9!I;~1M#Te>*G(8-!YOi2!A+v2MmBq8^U}S^uio84e8ItaTn{c z26cRyODbVYs~z@%Sju=O=x`8kb6ypiu$Y@)#Wfe0KG5$laPq%DiPu5H5$d1bR>T3$OCvO6oaa(C0X@|WQ^5vBiy$EMlnQn-E`6_xF(bkDp0P!WhJrR1V&r%z~ zDfB?7MU0(9n6diw`*7U%K;Ye-ZogT9>e1;jI%&L6v4m9c_Qu2)uBD!1h8aMRJ-Uw{cK~?5Q_uav92+FJhoM;NBDc0coRvUblbEil)56AO#E~y z$6+uxi|5w?7JO$V`Xu^oMpalk-@J4=53@G={2k&nJX6gjVl^q3NW)pAb_MygY5oov zheQ~{06j5LqvNd(`CQl@B;gXSrlnqub8{b5W9<5Cplg@&bx^5l&+E*}F0l`T-aIu6Fh^z0`PHx2Ec&i^&@%1t_1*=)2!K?@8!uPw zjt8fb_A2?}Z=g1{abzu#@D(E$j~uCLcO|2_|GQew<6xq~&DslA+j!(DuGBu%@d@<` zOitmQ9pR)pE=x5c0OdyjHlldyShn2(p-O5~!gh||2tp;-Es_qc?*ZJHARY!z0aF}XgRd!4r+^QtYjg0(&pW7$6G}y zHjwi7vb|FYa};OB17TyqK@^8I#a1+Kj?ysySlxMu$e$+ItsIt?RRW=3!4ar}zml{N z4*UJxnwK}>1Y4f^cWJPI?FG?>tyL6K5D!|SgjC0d$U9dnCGr9T@-z?jyMv=fSCdc; 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do + sleep 5 + done + + echo "Waiting for the Video-Llama service to start, downloading model..." + until docker logs test-comps-lvm-video-llama 2>&1 | grep -q "Uvicorn running on"; do + sleep 5m + done +} + +function validate_microservice() { + result=$(http_proxy="" curl http://localhost:5031/v1/lvm -X POST -d '{"video_url":"./data/silence_girl.mp4","chunk_start": 0,"chunk_duration": 7,"prompt":"What is the person doing?","max_new_tokens": 50}' -H 'Content-Type: application/json') + if [[ $result == *"silence"* ]]; then + echo "Result correct." + else + echo "Result wrong." + exit 1 + fi +} + +function stop_docker() { + cid=$(docker ps -aq --filter "name=test-comps-lvm*") + if [[ ! -z "$cid" ]]; then docker stop $cid && docker rm $cid && sleep 1s; fi + if docker volume ls | grep -q video-llama-model; then docker volume rm video-llama-model; fi + +} + +function main() { + + stop_docker + + build_docker_images + start_service + + validate_microservice + + stop_docker + echo y | docker system prune + +} + +main