Demo stand. Model: Intent Classifier (English)

Installation and start

Clone the repo and cd to project root:

git clone https://github.com/deepmipt/stand_intent_en.git
cd stand_intent_en

Run script to download and unpack model components:
```
./download_components.sh
```
Create a virtual environment with Python 3.6:
```
virtualenv env -p python3.6
```
Activate the environment:
```
source ./env/bin/activate
```
Install requirements:
```
pip install -r requirements.txt
```
Specify model endpoint host (api_host) and port (api_port) in intent_agent_config.json
Specify virtual environment path (if necessary) in run_en_intent.sh
Run model:
```
./run_en_intent.sh
```

If necessary, build Base Docker image from:

https://github.com/deepmipt/stand_docker_cuda

Clone the repo and cd to project root:

git clone https://github.com/deepmipt/stand_intent_en.git
cd stand_intent_en

Run Docker image:

sudo docker run -p <host_port>:6007 -v </path/to/host/vol/map/dir>:/logs stand/intent_en

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
intent_model		intent_model
snips_pretrained		snips_pretrained
.dockerignore		.dockerignore
.gitignore		.gitignore
Dockerfile		Dockerfile
README.md		README.md
config.json		config.json
download_components.sh		download_components.sh
infer.py		infer.py
intent_agent.py		intent_agent.py
intent_agent_config.json		intent_agent_config.json
intent_classifier.py		intent_classifier.py
intent_en_api.py		intent_en_api.py
requirements.txt		requirements.txt
run_en_intent.sh		run_en_intent.sh
train.py		train.py