updated README.md

README.md

@@ -1,123 +1,10 @@
-# Speaker Voice Separation using Neural Nets Gradio Demo
-
-## Installation
-
-```bash
-git clone https://github.com/Muhammad-Ahmad-Ghani/svoice_demo.git
-cd svoice_demo
-conda create -n svoice python=3.7 -y
-conda activate svoice
-conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.3 -c pytorch -y
-pip install -r requirements.txt
-```
-
-| Pretrained-Model | Dataset | Epochs | Train Loss | Valid Loss |
-|:------------:|:------------:|:------------:|:------------:|:------------:
-| [checkpoint.th](https://drive.google.com/drive/folders/1WzhvH1oIB9LqoTyItA6jViTRai5aURzJ?usp=sharing) | Librimix-7 (16k-mix_clean) | 31 | 0.04 | 0.64 |
-
-This is an intermediate checkpoint just for demo purpose.
-
-create directory ```outputs/exp_``` and save checkpoint there
-```
-svoice_demo
-├── outputs
-│   └── exp_
-│       └── checkpoint.th
-...
-```
-
-## Running End To End project
-#### Terminal 1
-```bash
-conda activate svoice
-python demo.py
-```
- 
-## Training
-Create dataset ```mix_clean``` with sample rate ```16K``` using [librimix](https://github.com/shakeddovrat/librimix) repo.
-
-Dataset Structure
-```
-svoice_demo
-├── Libri7Mix_Dataset
-│   └── wav16k
-│       └── min
-│       │   └── dev
-│       │       └── ...
-│       │   └── test
-│       │       └── ...
-│       │   └── train-360
-│       │       └── ...
-...
-```
-
-#### Create ```metadata``` files
-For Librimix7 dataset
-```
-bash create_metadata_librimix7.sh
-```
-
-For Librimix10 dataset
-```
-bash create_metadata_librimix10.sh
-```
-
-Change ```conf/config.yaml``` according to your settings. Set ```C: 10``` value at line 66 for number of speakers.
-
-```
-python train.py
-```
-This will automaticlly read all the configurations from the `conf/config.yaml` file.
-To know more about the training you may refer to original [svoice](https://github.com/facebookresearch/svoice) repo.
-
-#### Distributed Training
-
-```
-python train.py ddp=1
-```
-
-### Evaluating
-
-```
-python -m svoice.evaluate <path to the model> <path to folder containing mix.json and all target separated channels json files s<ID>.json>
-```
-
-### Citation
-
-The svoice code is borrowed from original [svoice](https://github.com/facebookresearch/svoice) repository. All rights of code are reserved by [META Research](https://github.com/facebookresearch).
-
-```
-@inproceedings{nachmani2020voice,
-  title={Voice Separation with an Unknown Number of Multiple Speakers},
-  author={Nachmani, Eliya and Adi, Yossi and Wolf, Lior},
-  booktitle={Proceedings of the 37th international conference on Machine learning},
-  year={2020}
-}
-```
-```
-@misc{cosentino2020librimix,
-    title={LibriMix: An Open-Source Dataset for Generalizable Speech Separation},
-    author={Joris Cosentino and Manuel Pariente and Samuele Cornell and Antoine Deleforge and Emmanuel Vincent},
-    year={2020},
-    eprint={2005.11262},
-    archivePrefix={arXiv},
-    primaryClass={eess.AS}
-}
-```
-## License
-This repository is released under the CC-BY-NC-SA 4.0. license as found in the [LICENSE](LICENSE) file.
-
-The file: `svoice/models/sisnr_loss.py` and `svoice/data/preprocess.py` were adapted from the [kaituoxu/Conv-TasNet][convtas] repository. It is an unofficial implementation of the [Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation][convtas-paper] paper, released under the MIT License.
-Additionally, several input manipulation functions were borrowed and modified from the [yluo42/TAC][tac] repository, released under the CC BY-NC-SA 3.0 License.
-
-[icml]: https://arxiv.org/abs/2003.01531.pdf
-[icassp]: https://arxiv.org/pdf/2011.02329.pdf
-[web]: https://enk100.github.io/speaker_separation/
-[pytorch]: https://pytorch.org/
-[hydra]: https://github.com/facebookresearch/hydra
-[hydra-web]: https://hydra.cc/
-[convtas]: https://github.com/kaituoxu/Conv-TasNet 
-[convtas-paper]: https://arxiv.org/pdf/1809.07454.pdf
-[tac]: https://github.com/yluo42/TAC
-[nprirgen]: https://github.com/ty274/rir-generator
-[rir]:https://asa.scitation.org/doi/10.1121/1.382599
+---
+title: svoice_demo
+emoji: 🔥
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 3.11.0
+app_file: app.py
+pinned: false
+---