https://github.com/andfanilo/ddsp-streamlit-ui
Streamlit version for the DDSP timbre transfer demo.
https://github.com/andfanilo/ddsp-streamlit-ui
ddsp python streamlit tensorflow
Last synced: 12 months ago
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Streamlit version for the DDSP timbre transfer demo.
- Host: GitHub
- URL: https://github.com/andfanilo/ddsp-streamlit-ui
- Owner: andfanilo
- Created: 2020-01-21T13:33:14.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-01-21T14:20:51.000Z (over 6 years ago)
- Last Synced: 2025-04-02T23:51:16.659Z (about 1 year ago)
- Topics: ddsp, python, streamlit, tensorflow
- Language: Python
- Size: 174 KB
- Stars: 11
- Watchers: 3
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# DDSP demo on Streamlit
Streamlit version for the [DDSP timbre transfer demo](https://github.com/magenta/ddsp/blob/master/ddsp/colab/demos/timbre_transfer.ipynb) _but only for `.wav` files_.
## Prerequisites
- You need to download and unzip the DDSP checkpoints in the `models/` folder.
I did it using the `gsutil` tool in a Colab environment then downloading from Colab to local machine :
```bash
!gsutil cp -r gs://ddsp/models/ .
```
The structure should look like :
├── models
│ ├── solo_flute_ckpt
| | ├── model.ckpt-2400.data-00000-of-00001
| | ├── model.ckpt-2400.index
| | ├── model.ckpt-2400.meta
| │ └── operative_config-0.gin
│ ├── solo_flute2_ckpt
| │ └── ...
│ └── slow_violin_ckpt
| └── ...
│
├── app.py
│
.
.
.
- You also need some `.wav` file to upload. There is no means to record your voice yet within Streamlit so do it beforehand, or download some free voice sample.
## Install
I use conda but feel free to use your own virtual env to install requirements.txt :
```bash
conda create -n ddsp-streamlit-ui python=3.7
conda activate ddsp-streamlit-ui
pip install -r requirements.txt
```
## Run
```bash
streamlit run app.py
```
At the end of script, the output file is created in `output.wav`.
## Contribute
To regenerate `requirements.txt` :
```shell
pip install pip-tools
pip-compile requirements.in
```
To format code :
```shell
pip install black reorder-python-imports
reorder-python-imports --application-directories=.
black app.py
```