semvec/pypi-packages huggingface dataset:
engine-matching-client 0.1.1
HTTP client helpers for the engine matching Flask API.
Requires Python: >=3.9


## Translation endpoint

Run `python gemini_shipping_flask_api.py` and send a `POST /translate` request with JSON such as:

```bash
curl -X POST http://localhost:5050/translate \
  -H "Content-Type: application/json" \
  -d '{"text": "boleh tolong check status order saya?"}'
```

The API responds with the sanitized original text and an English translation derived from the configured OpenAI model. Basic HTML tags are stripped before translation to handle chat inputs that include markup, and empty prompts are rejected after cleaning. The `/search` endpoint also removes HTML markup, detects Malay inputs, translates them to English, and only skips translation when the request already appears to be English.

## Streamlit chatbot

Run the Flask API first so the UI can delegate search and summarisation to `/search`:

```bash
python gemini_shipping_flask_api.py
```

Then launch the Streamlit UI in a separate terminal:

```bash
streamlit run streamlit_chat.py
```

By default, the app posts to `http://localhost:5050/search`. Override the endpoint with `CHATBOT_SEARCH_URL` if you deploy the API elsewhere. The sidebar shows the running conversation summary returned by the backend, and the conversation history stays in the session so follow-up questions include prior context.
unihiker 0.0.29.0
Library for Unihiker M10
Requires Python: >=3.6

# unihiker
This is a library for unihiker M10 from DFRobot (https://www.unihiker.com). Now there is an easy-to-use GUI inside based on tkinter and ttkbootstrap. This library aims to make unihiker suitable for education scenario.
The parameters in GUI's function is highly compatible with Tkinter's Button and Canvas widget. You could find the reference from here to get the detail configuration and parameters:
https://anzeljg.github.io/rin2/book2/2405/docs/tkinter/canvas.html
https://anzeljg.github.io/rin2/book2/2405/docs/tkinter/button.html

## Notice

Note: This library is developed solely to support the unihiker M10 system and does not guarantee compatibility with other systems and hardware.