update server readme

TTS/bin/synthesize.py

@@ -106,7 +106,6 @@ def tts(model,
         model_config.enable_eos_bos_chars,
         use_gl,
         speaker_embedding=speaker_embedding)
-
     # grab spectrogram (thx to the nice guys at mozilla discourse for codesnippet)
     if args.save_spectogram:
         spec_file_name = args.text.replace(" ", "_")[0:10]
@@ -157,7 +156,7 @@ if __name__ == "__main__":
     '''You can either use your trained model or choose a model from the provided list.\n'''
 
     '''
-Example runs:
+    Example runs:
 
     # list provided models
     ./TTS/bin/synthesize.py --list_models
@@ -172,7 +171,7 @@ Example runs:
     ./TTS/bin/synthesize.py --text "Text for TTS" --model_path path/to/config.json --config_path path/to/model.pth.tar --out_path output/path/speech.wav
         --vocoder_path path/to/vocoder.pth.tar --vocoder_config_path path/to/vocoder_config.json
 
-''',
+    ''',
         formatter_class=RawTextHelpFormatter)
 
     parser.add_argument(

TTS/server/README.md

@@ -9,6 +9,20 @@ Instructions below are based on a Ubuntu 18.04 machine, but it should be simple
 ##### Using server.py
 If you have the environment set already for TTS, then you can directly call ```server.py```.
 
+Examples runs:
+
+List officially released models.
+```python TTS/server/server.py  --list_models ```
+
+Run the server with the official models.
+```python TTS/server/server.py  --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/mulitband-melgan```
+
+Run the server with the official models on a GPU.
+```CUDA_VISIBLE_DEVICES="0" python TTS/server/server.py  --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/mulitband-melgan --use_cuda True```
+
+Run the server with a custom models.
+```python TTS/server/server.py  --tts_checkpoint /path/to/tts/model.pth.tar --tts_config /path/to/tts/config.json --vocoder_checkpoint /path/to/vocoder/model.pth.tar --vocoder_config /path/to/vocoder/config.json```
+
 ##### Using .whl
 1. apt-get install -y espeak libsndfile1 python3-venv
 2. python3 -m venv /tmp/venv
@@ -21,6 +35,8 @@ You can now open http://localhost:5002 in a browser
 
 #### Running with nginx/uwsgi:
 
+**Note:** This method uses an old TTS model, so quality might be low.
+
 1. apt-get install -y uwsgi uwsgi-plugin-python3 nginx espeak libsndfile1 python3-venv
 2. python3 -m venv /tmp/venv
 3. source /tmp/venv/bin/activate