Update README.md

README.md

@@ -1,69 +1,9 @@
-# Few-Shot Voice Cloning
-
-This repository is an implementation of the pipeline for few-short voice cloning based on SpeechT5 architecture introduced in [ SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205).
-It is able to clone a voice from 15-30 seconds of audio recording in English (another languages are planned).
-
-# Getting Started
-
-Clone repository 
-```angular2html
-git clone https://github.com/konverner/deep-voice-cloning.git
-```
-
-Install the modules
-```angular2html
-pip install .
-```
-
-Run traning specifying arguments using config file `training_config.json` or the console command, for example
-```angular2html
-python scripts/train.py --audio_path scripts/input/hank.mp3 --output_dir /content/deep-voice-cloning/models
-```
-Resulting model will be saved in `output_dir` directory. It will be used in the next step.
-
-Run inference specifying arguments using config file `inference_config.json` or the console command, for example
-```angular2html
-python scripts/cloning_inference.py --model_path "/content/deep-voice-cloning/models/microsoft_speecht5_tts_hank"\
---input_text 'do the things, not because they are easy, but because they are hard'\
---output_path "scripts/output/do_the_things.wav"
-```
-
-Resulting audio file will be saved as `output_path` file.
-
-# Docker
-
-To build docker image:
-
-```
-docker build -t deep-voice-cloning .
-```
-
-To pull docker image from Hub:
-
-```angular2html
-docker pull konverner/deep-voice-cloning:latest
-```
-
-To run image in a container:
-
-```
-docker run -it --entrypoint=/bin/bash konverner/deep-voice-cloning
-```
-
-To run training in a container for example:
-
-```
-python scripts/train.py --audio_path scripts/input/hank.mp3 --output_dir models
-```
-
-To run inference in a container for example:
-
-```
-python scripts/cloning_inference.py --model_path models/microsoft_speecht5_tts_hank --input_text "do the things, not because they are easy, but because they are hard" --output_path scripts/output/do_the_things.wav
-```
-
-
-# Notebook Examples
-
-Example of using CLI for training and inference can be found in [notebook](https://github.com/konverner/deep-voice-cloning/blob/main/notebooks/CLI_Example.ipynb)
-
+---
+license: openrail
+title: Deep Voice Cloning
+sdk: gradio
+emoji: 🌖
+colorFrom: yellow
+colorTo: purple
+pinned: true
+---