semvec/pypi-packages huggingface dataset:
wuwaconvene 0.1.0
WuWaConvene - A module for Python that allows you to get the gacha history from the game Wuthering Waves, also calculate the guarantors and generate an information card.
License: MIT
Requires Python: >=3.9
Keywords: Wuthering, Waves, generation, WuWa, gacha, convene, card, api

<p align="center">
 <img src="https://raw.githubusercontent.com/Wuthery/WuWaConvene.py/main/ReadMeConfig/Banner.png" alt="Баннер"/>
</p>

# WuWaConvene.py
WuWaConvene - A module for Python that allows you to get the gacha history from the game Wuthering Waves, also calculate the guarantors and generate an information card


### Possibilities:

* Get banner history
* Generate card
* Automatically receive a link to the journal
* Counting history

### Helpful information:
* [F.A.Q.](https://github.com/Wuthery/WuWaConvene.py/wiki/Documentation)
* [Discord](https://discord.gg/rKrbqz5utj)

### Install:

```
pip install wuwaconvene
```

### Launch:

```python
import asyncio
import wuwaconvene

async def main():    
    async with wuwaconvene.Convene(link = "YOU_LINK") as convenes:
        data = await convenes.get(1, lang= 'en', generator=True)
        
        data = await convenes.calculator(data)
        for key in data.data:
            icon = await key.get_icon()
            if key.typeRecord == 1:
                print(f"==[{key.resourceType}] ({key.qualityLevel}) {key.name} - {key.time} [{key.drop}]\nICON: {icon.icon}\nBANNER: {icon.banner}\n")
            else:
                print(f"[{key.resourceType}] ({key.qualityLevel}) {key.name} - {key.time}[{key.drop}]\nICON: {icon.icon}\n")
        
        print(f"Total Spin: {data.info.total_spin}\nAstrite: {data.info.astrite}\n==|Five Stars: {data.info.five_stars.resonator} | {data.info.five_stars.weapon}\n==|Four Stars: {data.info.four_stars.resonator} | {data.info.four_stars.weapon}\n==Three Stars: {data.info.three_stars.weapon}")

                
asyncio.run(main())

```


-------
> [!NOTE]  
> The module is still under development, this is not the final version, so stay tuned for updates
LetBabyTalk 0.1.1
LetBabyTalk
License: MIT
Requires Python: >=3.6


<div align="center">

## [Letting baby talk to you](https://github.com/MinghaoFu/Letting-baby-talk-to-you/)

Minghao Fu, Yu Yao, Haoyue Dai

<p align="center">
    <img src="assets/images/logo.png" alt="logo" width="90%">
</p>

</div>

## Environment

This code is tested on Ubuntu 20.04.4 LTS environment (Python 3.8.4, Pytorch 2.0.1, CUDA 11.8, cuDNN 7.0.5) with NVIDIA A100.

## Dataset
- [BabyChillanto](https://ccc.inaoep.mx/~kargaxxi/)
- [DonateACry](https://github.com/gveres/donateacry-corpus) 

## Get Started

Prepare the environment:
```bash
conda create --name ENV python=3.8 -y
conda activate ENV

git clone https://github.com/MinghaoFu/Letting-baby-talk-to-you.git
cd Letting-baby-talk-to-you

pip install -r requirements.txt
```

Train, evaluate, and test:
```bash
python main.py --seg_len 2 --loss 1*cross_entropy_loss+1*supervised_contrastive_loss --data Mix --seeds 1+2+3+4+5 --reweight --model resnet
```
## App
Try [App](https://github.com/MinghaoFu/Letting-baby-talk-to-you/) for free!

<p align="center">
    <img src="assets/images/record.png" alt="logo" width="90%">
</p>
<p align="center">
    <img src="assets/images/output.png" alt="logo" width="90%">
</p>

## Main Results

## License

This repository is licensed under the terms of the MIT license.

*Your star is my motivation to update, thanks!*