Fix here and ther

docs/source/models/tortoise.md

@@ -1,7 +1,7 @@
 # Tortoise 🐢
 Tortoise is a very expressive TTS system with impressive voice cloning capabilities. It is based on an GPT like autogressive acoustic model that converts input
 text to discritized acouistic tokens, a diffusion model that converts these tokens to melspeectrogram frames and a Univnet vocoder to convert the spectrograms to
-the final audio signal. The important downside is that Tortoise is very slow compared to the parallel TTS models like VITS. 
+the final audio signal. The important downside is that Tortoise is very slow compared to the parallel TTS models like VITS.
 
 Big thanks to 👑[@manmay-nakhashi](https://github.com/manmay-nakhashi) who helped us implement Tortoise in 🐸TTS.
 
@@ -12,7 +12,7 @@ from TTS.tts.configs.tortoise_config import TortoiseConfig
 from TTS.tts.models.tortoise import Tortoise
 
 config = TortoiseConfig()
-model = Tortoise.inif_from_config(config)
+model = Tortoise.init_from_config(config)
 model.load_checkpoint(config, checkpoint_dir="paths/to/models_dir/", eval=True)
 
 # with random speaker
@@ -29,23 +29,23 @@ from TTS.api import TTS
 tts = TTS("tts_models/en/multi-dataset/tortoise-v2")
 
 # cloning `lj` voice from `TTS/tts/utils/assets/tortoise/voices/lj`
-# with custom inference settings overriding defaults. 
-tts.tts_to_file(text="Hello, my name is Manmay , how are you?", 
+# with custom inference settings overriding defaults.
+tts.tts_to_file(text="Hello, my name is Manmay , how are you?",
                 file_path="output.wav",
-                voice_dir="TTS/tts/utils/assets/tortoise/voices/",
+                voice_dir="path/to/tortoise/voices/dir/",
                 speaker="lj",
                 num_autoregressive_samples=1,
                 diffusion_iterations=10)
 
 # Using presets with the same voice
-tts.tts_to_file(text="Hello, my name is Manmay , how are you?", 
+tts.tts_to_file(text="Hello, my name is Manmay , how are you?",
                 file_path="output.wav",
-                voice_dir="TTS/tts/utils/assets/tortoise/voices/",
+                voice_dir="path/to/tortoise/voices/dir/",
                 speaker="lj",
                 preset="ultra_fast")
 
 # Random voice generation
-tts.tts_to_file(text="Hello, my name is Manmay , how are you?", 
+tts.tts_to_file(text="Hello, my name is Manmay , how are you?",
                 file_path="output.wav")
 ```
 
@@ -54,16 +54,16 @@ Using 🐸TTS Command line:
 ```console
 # cloning the `lj` voice
 tts --model_name  tts_models/en/multi-dataset/tortoise-v2 \
---text "This is an example." \ 
---out_path "/data/speech_synth/coqui-tts/TTS/tests/outputs/output.wav" \
---voice_dir TTS/tts/utils/assets/tortoise/voices/ \
+--text "This is an example." \
+--out_path "output.wav" \
+--voice_dir path/to/tortoise/voices/dir/ \
 --speaker_idx "lj" \
 --progress_bar True
 
 # Random voice generation
 tts --model_name  tts_models/en/multi-dataset/tortoise-v2 \
 --text "This is an example." \
---out_path "/data/speech_synth/coqui-tts/TTS/tests/outputs/output.wav" \
+--out_path "output.wav" \
 --progress_bar True
 ```