Update README.md

Author: krishnanaredla

README.md

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-# Mozilla TTS
 
-Multi-platform Docker images for [Mozilla TTS](https://github.com/mozilla/TTS). Many thanks to [erogol](https://github.com/erogol) and [the community](https://discourse.mozilla.org/c/tts/285)!
-
-![Screenshot of web interface](web_screenshot.png)
-
-Supported languages (see [Released Models](https://github.com/mozilla/TTS/wiki/Released-Models)):
-
-* U.S. English (`en`)
-    * [Tacotron2 DDC model trained from LJSpeech](https://drive.google.com/drive/folders/1Y_0PcB7W6apQChXtbt6v3fAiNwVf4ER5?usp=sharing)
-    * [Multi-band MelGAN vocoder trained from LJSpeech](https://drive.google.com/drive/folders/1XeRT0q4zm5gjERJqwmX5w84pMrD00cKD?usp=sharing)
-* Spanish (`es`)
-    * [Tacotron2 DDC model trained from M-AILabs](https://drive.google.com/drive/folders/1HxFUHQl6REh8CifOXL8IMlIyR9SDVcdu?usp=sharing)
-    * [Full-band MelGAN vocoder trained from LibriTTS](https://drive.google.com/drive/folders/1LKAKOWqtUpiWr2Go3j5DFEFpUoQbW24C?usp=sharing)
-    * [Notebook](https://colab.research.google.com/drive/1u_16ZzHjKYFn1HNVuA4Qf_i2MMFB9olY?usp=sharing)
-* French (`fr`)
-    * [Tacotron2 DDC model trained from M-AILabs](https://colab.research.google.com/drive/16T5avz3zOUNcIbF_dwfxnkZDENowx-tZ?usp=sharing)
-    * [Full-band MelGAN vocoder trained from LibriTTS](https://drive.google.com/drive/folders/1LKAKOWqtUpiWr2Go3j5DFEFpUoQbW24C?usp=sharing)
-    * [Notebook](https://colab.research.google.com/drive/16T5avz3zOUNcIbF_dwfxnkZDENowx-tZ?usp=sharing)
-* German (`de`)
-    * [Tacotron2 DDC model](https://colab.research.google.com/drive/1SPl226SwzrfMZltrVagIXya_ax4CsMh-?usp=sharing) trained from [Thorsten dataset](https://github.com/thorstenMueller/deep-learning-german-tts/)
-    * [Parallel WaveGAN model](https://colab.research.google.com/drive/1SPl226SwzrfMZltrVagIXya_ax4CsMh-?usp=sharing) trained from same dataset
-    * **Note:** due to a mistake at training configuration, this model does not read numbers written in digit form.
-
-Supported platforms:
-
-* `x86_64`
-    * GPU is not supported (no CUDA or GPU-enabled PyTorch)
-    * If your CPU does not support AVX instructions (Celeron, etc.), use `synesthesiam/mozillatts:<LANGUAGE>-noavx` (e.g., `synestheisam/mozillatts:en-noavx`)
-* `armv7`
-    * Raspberry Pi 2/3/4 (32-bit
-* `arm64`
-    * Raspberry Pi 2/3/4 (64-bit)
-    
-### RAM Limitations
-
-If you're running on a Raspberry Pi with only 1 GB of RAM, you may be unable to load some of the larger models without increasing your swap space. To do this, simply edit the `/etc/dphys-swapfile` file (with `sudo`) and increase `CONF_SWAPSIZE` (1000 is recommended, value is MB). Make sure to reboot after editing this file.
-
-## Using
-
-```sh
-$ docker run -it -p 5002:5002 synesthesiam/mozillatts:<LANGUAGE>
-```
-
-where `<LANGUAGE>` is one of the supported languages (`en`, `es`, `fr`, `de`). If no language is given, U.S. English is used.
-
-Visit http://localhost:5002 for web interface.
-
-Do an HTTP GET at http://localhost:5002/api/tts?text=your%20sentence to get WAV audio back:
-
-```sh
-$ curl -G --output - \
-    --data-urlencode 'text=Welcome to the world of speech synthesis!' \
-    'http://localhost:5002/api/tts' | \
-    aplay
-```
-
-HTTP POST is also supported:
-
-```sh
-$ curl -X POST -H 'Content-Type: text/plain' --output - \
-    --data 'Welcome to the world of speech synthesis!' \
-    'http://localhost:5002/api/tts' | \
-    aplay
-```
-
-A `/process` endpoint is available for compatibility with [MaryTTS](http://mary.dfki.de/). Expose the correct port (59125) for maximum compatibility:
-
-```sh
-$ docker run -it -p 59125:5002 synesthesiam/mozillatts
-```
-
-You should now be able to use software like the [Home Assistant MaryTTS integration](https://www.home-assistant.io/integrations/marytts/).
-Note that only the `INPUT_TEXT` field is actually used.
-
-## Custom Model
-
-The Docker image is usually built with [buildx](https://docs.docker.com/buildx/working-with-buildx/) for multi-platform support. If you just want to build an image for one platform, you can do this:
-
-```sh
-$ NOBUILDX=1 LANGUAGE=en scripts/build-docker.sh
-```
-
-When you set a `LANGUAGE`, the build script looks in `model/<LANGUAGE>`. These files should exist:
-
-* `model/<LANGUAGE>/config.json`
-* `model/<LANGUAGE>/checkpoint.pth.tar` (any name that ends in `.pth.tar` is fine)
-* `model/<LANGUAGE>/scale_stats.npy` (optional)
-
-Optionally, you may also include a vocoder:
-
-* `model/<LANGUAGE>/vocoder/config.json`
-* `model/<LANGUAGE>/vocoder/checkpoint.pth.tar` (any name that ends in `.pth.tar` is fine)
-* `model/<LANGUAGE>/vocoder/scale_stats.npy` (optional)
-
-If the sample rates between the model and vocoder don't match, the audio will be [interpolated](https://github.com/mozilla/TTS/issues/520).
-
-### Docker Download Cache
-
-When building the Docker image, the `download` directory may contain architecture-specific Python wheels. The `download/amd64` directory, for example, will be used with pip's `--find-links` on `x86_64` systems. If the `NOAVX` environment variable is not empty, then wheels in `download/<ARCHITECTURE>/noavx` will overwrite those in the parent directory.
-
-The `download/shared` directory is used for all architectures. If a `requirements.txt` file is present there, it is used to install dependencies for MozillaTTS. This can be used to exclude Tensorflow, etc., or to use specific package versions.
-
-### Use Docker buildx
-
-To use `buildx`, you'll need to [enable experimental features](https://docs.docker.com/buildx/working-with-buildx/) in the Docker CLI and then set up a private registry:
 
 ```sh
-$ docker run -d -p 15555:5000 --name registry --restart=always registry:2
-```
+git clone https://github.com/krishnanaredla/docker-tts-api.git
+cd docker-tts-api
+# unzip the models downloaded and place them in models folder
+docker build -t mtts:1.0 .
 
-This registry runs on port 15555. Next, create a configuration file at `/etc/docker/buildx.conf` with this inside:
+# After build success
 
-```
-[registry."localhost:15555"]
-  http = true
-  insecure = true
-```
+docker run  --entrypoint "/bin/bash" -it -p 8081:8081 mtts:1.0
+root@xx/app# cd tts_api/
+root@xx:/app/tts_api# pip3 install --trusted-host pypi.org --trusted-host files.pythonhosted.org pyworld
+root@xx:/app/tts_api# python3 main.py
 
-Note the same port number (15555). Finally, run the following commands to create a builder:
-
-```sh
-$ docker run --rm --privileged multiarch/qemu-user-static --reset -p yes
-$ docker buildx create --config /etc/docker/buildx.conf --use --name mybuilder
-$ docker buildx use mybuilder
-$ docker buildx inspect --bootstrap
 ```
 
-For some reason, these have to be run again **after every reboot** and will sometimes require removing the builder first.
-
-If all is well, you can build for specific platforms like this:
-
-```sh
-$ PLATFORMS=linux/arm/v7 LANGUAGE=en DOCKER_REGISTRY=localhost:15555 scripts/build-docker.sh
-```
-
-Note that the limiting factor for most platforms is a compiled PyTorch wheel. Pre-built wheels are available [here](https://github.com/synesthesiam/prebuilt-apps/releases) for ARM and PyTorch 1.6.0. Put wheels in the `download` directory before building.
-
-