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:exclamation::exclamation:**This repo will no longer be maintained, please visit https://github.com/milvus-io/bootcamp**:exclamation::exclamation:
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# Audio search system with Milvus
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This project uses [PANNs](https://github.com/qiuqiangkong/audioset_tagging_cnn)(Large-Scale Pretrained Audio Neural Networks) for Audio Pattern Recognition to perform audio tagging and sound event detection, finally obtaining audio embeddings. Then this project uses [Milvus](https://milvus.io/docs/v0.11.0/overview.md) to search for similar audio clips.
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## Local Deployment
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### Requirements
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-[Milvus 0.10.5](https://milvus.io/docs/v0.10.5/milvus_docker-cpu.md) (please note the Milvus version)
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$ cd bootcamp/solutions/audio_search/webserver/
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$ pip install -r audio_requirements.txt
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```
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2.**Modify configuration parameters**
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Before running the script, please modify the parameters in **webserver/audio/common/config.py**:
| MILVUS_HOST | milvus service ip address | 127.0.0.1 |
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| MILVUS_PORT | milvus service port | 19530 |
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| MYSQL_HOST | mysql service ip | 127.0.0.1 |
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| MYSQL_PORT | mysql service port | 3306 |
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| MYSQL_USER | mysql user name | root |
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| MYSQL_PWD | mysql password | 123456 |
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| MYSQL_DB | mysql datebase name | mysql |
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| MILVUS_TABLE | default table name | milvus_audio |
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3.**Star server**
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2.**Star server**
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```bash
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$ cd webserver
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$ python main.py
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```
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## System Usage
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Type `127.0.0.1:8002/docs` in your browser to see all the APIs.
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- Insert data.
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Download the sample [game_sound.zip](https://github.com/shiyu22/bootcamp/blob/0.11.0/solutions/audio_search/data/game_sound.zip?raw=true) and upload it into the system.
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> The sound data in the zip archive must be in wav format.
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- Search for similar audio clips.
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You can upload [test.wav](https://github.com/shiyu22/bootcamp/blob/0.11.0/solutions/audio_search/data/test.wav) to search for the most similar sound clips.
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Please refer to https://zilliz.com/demos/ to take a try in the front-end interface.
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