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Fixes MultimodalQnA dataprep endpoint and port in the UI (#1457)

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Signed-off-by: Melanie Buehler <melanie.h.buehler@intel.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Melanie Hart Buehler
2025-01-22 17:11:09 -08:00
committed by GitHub
parent 94f71f2322
commit 1864fac978
13 changed files with 28 additions and 58 deletions
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12
MultimodalQnA/docker_compose/intel/cpu/xeon/README.md
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@@ -92,7 +92,7 @@ export REDIS_INSIGHTS_PORT=8001
export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}"
export REDIS_HOST=${host_ip}
export INDEX_NAME="mm-rag-redis"
export DATAPREP_MMR_PORT=5000
export DATAPREP_MMR_PORT=6007
export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/ingest"
export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_transcripts"
export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_captions"
@@ -334,15 +334,6 @@ export audio_fn="AudioSample.wav"
wget https://github.com/intel/intel-extension-for-transformers/raw/main/intel_extension_for_transformers/neural_chat/assets/audio/sample.wav -O ${audio_fn}
```
```bash
export DATAPREP_MMR_PORT=6007
export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/ingest"
export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_transcripts"
export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_captions"
export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/get"
export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/delete"
```
Test dataprep microservice with generating transcript. This command updates a knowledge base by uploading a local video .mp4 and an audio .wav file.
```bash
@@ -398,6 +389,7 @@ To delete all uploaded files along with data indexed with `$INDEX_NAME` in REDIS
```bash
curl -X POST \
-H "Content-Type: application/json" \
-d '{"file_path": "all"}' \
${DATAPREP_DELETE_FILE_ENDPOINT}
```

2
MultimodalQnA/docker_compose/intel/cpu/xeon/compose.yaml
View File

@@ -26,7 +26,7 @@ services:
- redis-vector-db
- lvm-llava
ports:
- "6007:${DATAPREP_MMR_PORT}"
- "${DATAPREP_MMR_PORT}:5000"
environment:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}

2
MultimodalQnA/docker_compose/intel/cpu/xeon/set_env.sh
View File

@@ -28,7 +28,7 @@ export REDIS_URL="redis://${host_ip}:${REDIS_DB_PORT}"
export REDIS_HOST=${host_ip}
export INDEX_NAME="mm-rag-redis"
export DATAPREP_MMR_PORT=5000
export DATAPREP_MMR_PORT=6007
export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/ingest"
export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_transcripts"
export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_captions"

12
MultimodalQnA/docker_compose/intel/hpu/gaudi/README.md
View File

@@ -37,7 +37,7 @@ export WHISPER_PORT=7066
export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr"
export MAX_IMAGES=1
export WHISPER_MODEL="base"
export DATAPREP_MMR_PORT=5000
export DATAPREP_MMR_PORT=6007
export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/ingest"
export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_transcripts"
export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_captions"
@@ -282,15 +282,6 @@ wget https://github.com/intel/intel-extension-for-transformers/raw/main/intel_ex
Test dataprep microservice with generating transcript. This command updates a knowledge base by uploading a local video .mp4 and an audio .wav file.
```bash
export DATAPREP_MMR_PORT=6007
export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/ingest"
export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_transcripts"
export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_captions"
export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/get"
export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/delete"
```
```bash
curl --silent --write-out "HTTPSTATUS:%{http_code}" \
${DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT} \
@@ -324,6 +315,7 @@ Also, you are able to get the list of all files that you uploaded:
```bash
curl -X POST \
-H "Content-Type: application/json" \
-d '{"file_path": "all"}' \
${DATAPREP_GET_FILE_ENDPOINT}
```

2
MultimodalQnA/docker_compose/intel/hpu/gaudi/compose.yaml
View File

@@ -28,7 +28,7 @@ services:
- redis-vector-db
- lvm
ports:
- "6007:${DATAPREP_MMR_PORT}"
- "${DATAPREP_MMR_PORT}:5000"
environment:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}

2
MultimodalQnA/docker_compose/intel/hpu/gaudi/set_env.sh
View File

@@ -28,7 +28,7 @@ export WHISPER_PORT=7066
export WHISPER_SERVER_ENDPOINT="http://${host_ip}:${WHISPER_PORT}/v1/asr"
export MAX_IMAGES=1
export DATAPREP_MMR_PORT=5000
export DATAPREP_MMR_PORT=6007
export DATAPREP_INGEST_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/ingest"
export DATAPREP_GEN_TRANSCRIPT_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_transcripts"
export DATAPREP_GEN_CAPTION_SERVICE_ENDPOINT="http://${host_ip}:${DATAPREP_MMR_PORT}/v1/dataprep/generate_captions"