Signed-off-by: amy-why-3459 <wuhaiyan17@huawei.com> Co-authored-by: Cursor <cursoragent@cursor.com>
155 lines
4.1 KiB
Bash
Executable File
155 lines
4.1 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -euo pipefail
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# Default query type
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QUERY_TYPE="${1:-text}"
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# Default modalities argument (JSON). Use null for server default (text+audio).
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MODALITIES="${2:-null}"
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# Validate query type
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if [[ ! "$QUERY_TYPE" =~ ^(text|use_audio|use_image|use_video)$ ]]; then
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echo "Error: Invalid query type '$QUERY_TYPE'"
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echo "Usage: $0 [text|use_audio|use_image|use_video] [modalities]"
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echo " text: Text query"
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echo " use_audio: Audio + text query"
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echo " use_image: Image + text query"
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echo " use_video: Video + text query"
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echo " modalities: JSON list or null (default: null → text+audio)"
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echo " examples: '[\"text\"]' '[\"text\",\"audio\"]'"
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exit 1
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fi
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HOST="${HOST:-localhost}"
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PORT="${PORT:-8099}"
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MODEL="${MODEL:-openbmb/MiniCPM-o-4_5}"
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thinker_sampling_params='{
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"temperature": 0.0,
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"top_p": 1.0,
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"top_k": -1,
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"max_tokens": 2048,
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"seed": 42,
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"detokenize": true,
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"repetition_penalty": 1.1
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}'
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talker_sampling_params='{
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"temperature": 0.0,
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"top_p": 1.0,
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"top_k": -1,
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"max_tokens": 1,
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"seed": 42,
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"detokenize": false
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}'
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# Above is optional; defaults live in vllm_omni/deploy/minicpmo_4_5.yaml.
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MARY_HAD_LAMB_AUDIO_URL="https://vllm-public-assets.s3.us-west-2.amazonaws.com/multimodal_asset/mary_had_lamb.ogg"
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CHERRY_BLOSSOM_IMAGE_URL="https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/cherry_blossom.jpg"
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SAMPLE_VIDEO_URL="https://huggingface.co/datasets/raushan-testing-hf/videos-test/resolve/main/sample_demo_1.mp4"
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case "$QUERY_TYPE" in
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text)
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user_content='[
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{
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"type": "text",
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"text": "Say hello, then introduce vLLM-Omni in one sentence."
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}
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]'
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;;
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use_audio)
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user_content='[
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{
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"type": "audio_url",
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"audio_url": {
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"url": "'"$MARY_HAD_LAMB_AUDIO_URL"'"
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}
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},
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{
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"type": "text",
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"text": "What is the content of this audio?"
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}
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]'
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;;
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use_image)
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user_content='[
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{
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"type": "image_url",
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"image_url": {
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"url": "'"$CHERRY_BLOSSOM_IMAGE_URL"'"
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}
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},
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{
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"type": "text",
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"text": "What is the content of this image?"
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}
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]'
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;;
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use_video)
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user_content='[
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{
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"type": "video_url",
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"video_url": {
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"url": "'"$SAMPLE_VIDEO_URL"'"
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}
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},
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{
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"type": "text",
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"text": "Why is this video funny?"
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}
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]'
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;;
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esac
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sampling_params_list='[
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'"$thinker_sampling_params"',
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'"$talker_sampling_params"'
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]'
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# TTS speech path needs use_tts_template at the request root (curl does not
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# flatten nested extra_body). Skip it when the caller asked for text-only.
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USE_TTS_TEMPLATE=true
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if [[ "$MODALITIES" == '["text"]' || "$MODALITIES" == "['text']" ]]; then
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USE_TTS_TEMPLATE=false
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fi
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echo "Running query type: $QUERY_TYPE (host=$HOST port=$PORT model=$MODEL)"
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echo "modalities=$MODALITIES use_tts_template=$USE_TTS_TEMPLATE"
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echo ""
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request_body=$(cat <<EOF
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{
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"model": "$MODEL",
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"sampling_params_list": $sampling_params_list,
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"modalities": $MODALITIES,
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"chat_template_kwargs": {"use_tts_template": $USE_TTS_TEMPLATE},
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"messages": [
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{
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"role": "system",
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"content": [
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{
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"type": "text",
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"text": "You are MiniCPM-o, a helpful multimodal assistant that can understand images, audio and video, and respond in text and speech."
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}
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]
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},
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{
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"role": "user",
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"content": $user_content
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}
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]
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}
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EOF
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)
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output=$(curl -sS --retry 3 --retry-delay 3 --retry-connrefused \
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-X POST "http://${HOST}:${PORT}/v1/chat/completions" \
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-H "Content-Type: application/json" \
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-d "$request_body")
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# Text content of the first choice only (audio is base64 WAV and too large to print).
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echo "Output of request: $(echo "$output" | jq -r '.choices[0].message.content // .error // .')"
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# Indicate whether any choice carried audio.
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has_audio=$(echo "$output" | jq '[.choices[]? | select(.message.audio != null)] | length')
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echo "Choices with audio: ${has_audio}"
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