Added some precisions

README.md

@@ -38,7 +38,7 @@ Demo on [Google Colab](https://colab.research.google.com/drive/1JVtJ6CDwxtKfFmEd
 Here is a typical run using `bark.cpp`:
 
 ```java
-make -j && ./main -p "This is an audio generated by bark.cpp"
+./main -p "This is an audio generated by bark.cpp"
 
  __ __
  / /_ ____ ______/ /__ _________ ____
@@ -50,19 +50,19 @@ make -j && ./main -p "This is an audio generated by bark.cpp"
 bark_tokenize_input: prompt: 'This is an audio generated by bark.cpp'
 bark_tokenize_input: number of tokens in prompt = 513, first 8 tokens: 20795 20172 20199 33733 58966 20203 28169 20222
 
-Generating semantic tokens: [========> ] (17%)
+Generating semantic tokens: 17%
 
 bark_print_statistics: sample time = 10.98 ms / 138 tokens
 bark_print_statistics: predict time = 614.96 ms / 4.46 ms per token
 bark_print_statistics: total time = 633.54 ms
 
-Generating coarse tokens: [==================================================>] (100%)
+Generating coarse tokens: 100%
 
 bark_print_statistics: sample time = 3.75 ms / 410 tokens
 bark_print_statistics: predict time = 3263.17 ms / 7.96 ms per token
 bark_print_statistics: total time = 3274.00 ms
 
-Generating fine tokens: [==================================================>] (100%)
+Generating fine tokens: 100%
 
 bark_print_statistics: sample time = 38.82 ms / 6144 tokens
 bark_print_statistics: predict time = 4729.86 ms / 0.77 ms per token
@@ -75,7 +75,7 @@ main: eval time = 8806.57 ms
 main: total time = 9131.68 ms
 ```
 
-Here is a video of Bark small running on the iPhone:
+Here is a video of Bark running on the iPhone:
 
 https://github.com/PABannier/bark.cpp/assets/12958149/bc807c0b-adfa-4c47-a05b-a2d8ba157dd8