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---
title: SentimentAi
emoji: 💻
colorFrom: gray
colorTo: indigo
sdk: streamlit
sdk_version: 1.36.0
app_file: app.py
pinned: false
license: mit
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
https://launchdarkly.com/blog/build-sentiment-analysis-app-hugging-face-spaces-with-ai-model-feature-flags/
## Run on docker
### UI
docker run -it -p 8501:8501 --platform=linux/amd64 \
-e LAUNCHDARKLY_SDK_KEY="<LAUNCHDARKLY_SDK_KEY>" \
registry.hf.space/asgface-sentimentai:latest streamlit run app.py
### API - WIP
Build your Docker image
```bash
docker build -t myapi .
```
Run your Docker container, mapping port 5001 of the container to port 5001 on your host
```bash
docker run -p 5001:5001 -e LAUNCHDARKLY_SDK_KEY="<LAUNCHDARKLY_SDK_KEY>" myapi
```
## Run locally
### API
python3 -m venv myenv
source myenv/bin/activate
LAUNCHDARKLY_SDK_KEY=$LAUNCHDARKLY_SDK_KEY gunicorn -w 4 -b 0.0.0.0:5001 api:app
# Build your Docker image
docker build -t morsisdivine/sentiment .
# Run your Docker container, mapping port 5001 of the container to port 5001 on your host
docker run -p 5001:5001 -e LAUNCHDARKLY_SDK_KEY=$LAUNCHDARKLY_SDK_KEY morsisdivine/sentiment
### UI
python3 -m venv myenv
source myenv/bin/activate
pip3 install -r requirements.txt
LAUNCHDARKLY_SDK_KEY=$LAUNCHDARKLY_SDK_KEY streamlit run app.py
## Run test with pytest and playwright
```bash
pytest --html=report.html --browser webkit --tracing on
``` |