docs(server): clean up README (#272)

* docs: clean up server README

* docs: formatting

---------

Co-authored-by: Enno Hermann <[email protected]>

TTS/server/README.md

@@ -1,21 +1,36 @@
-# :frog: TTS demo server
+# :frog: TTS Demo Server
 Before you use the server, make sure you
-[install](https://github.com/idiap/coqui-ai-TTS/tree/dev#install-tts)) :frog: TTS
+[install](https://github.com/idiap/coqui-ai-TTS/tree/dev#install-tts) :frog: TTS
 properly and install the additional dependencies with `pip install
 coqui-tts[server]`. Then, you can follow the steps below.
 
-**Note:** If you install :frog:TTS using ```pip```, you can also use the ```tts-server``` end point on the terminal.
+**Note:** If you install :frog:TTS using ```pip```, you can also use the ```tts-server``` endpoint on the terminal instead of the `python TTS/server/server.py` arguments.
 
-Examples runs:
+## Example commands
 
-List officially released models.
-```python TTS/server/server.py  --list_models ```
+List officially released models:
+```bash
+python TTS/server/server.py --list_models  # or
+tts-server --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/multiband-melgan```
+Run the server with the official models:
+```bash
+python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA \
+       --vocoder_name vocoder_models/en/ljspeech/multiband-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/multiband-melgan --use_cuda```
+Run the server with the official models on a GPU:
+```bash
+CUDA_VISIBLE_DEVICES="0" python TTS/server/server.py \
+    --model_name tts_models/en/ljspeech/tacotron2-DCA
+    --vocoder_name vocoder_models/en/ljspeech/multiband-melgan --use_cuda
+```
 
-Run the server with a custom models.
-```python TTS/server/server.py  --tts_checkpoint /path/to/tts/model.pth --tts_config /path/to/tts/config.json --vocoder_checkpoint /path/to/vocoder/model.pth --vocoder_config /path/to/vocoder/config.json```
+Run the server with a custom models:
+```bash
+python TTS/server/server.py --tts_checkpoint /path/to/tts/model.pth \
+       --tts_config /path/to/tts/config.json \
+       --vocoder_checkpoint /path/to/vocoder/model.pth \
+       --vocoder_config /path/to/vocoder/config.json
+```