Update app.py

app.py

@@ -13,11 +13,11 @@ description = """
 Coqui.ai is the library for advanced Text-to-Speech generation and Voice Conversion. It's built on the latest research, 
 was designed to achieve the best trade-off among ease-of-training, speed and quality. Coqui.ai comes with 
 pretrained models, tools for measuring dataset quality and already used in 20+ languages for products and research projects. 
-<b>How to use:</b> For the demo we preselected just 9 best performing TTS models from Coqui.ai library. Select a model. 
-There are multispiker/multilingual models [actually only one :) ] that allow to select speaker and/or language. 
-Upload or select from dropdown box a voice to be cloned [or record using the microphone -TBD]. 
+For the demo we selected 6 best performing TTS models from Coqui.ai library. <b>How to use:</b> Select a model from 
+dropdown box. Some multispeaker/multilingual models allow to select speaker and language as well. 
+Upload or select voice to be cloned [or record using the microphone -TBD]. 
 Enter text in the text box or upload audio file [or record using the microphone -TBD]. Press "Text to speech" or 
-"Convert audio" button. For TTS task you can choose not to clone voice but hear original voice of the model.
+"Convert audio" button. For TTS task you can choose not to clone voice and hear original voice of the model.
 
 """
 article = """
@@ -26,6 +26,17 @@ article = """
 <a href="https://tts.readthedocs.io/en/latest/">Documentation</a> |
 <a href="https://app.coqui.ai/auth/signin">Voice cloning on Coqui Studio</a> |
 <a href="https://github.com/erogol/TTS-papers">Text-to-Speech paper collection</a>
+<pre>
+With few exceptions, Voice Conversion in Coqui.ai is implemented with FreeVC model
+@misc{li2022freevc,
+      title={FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion}, 
+      author={Jingyi li and Weiping tu and Li xiao},
+      year={2022},
+      eprint={2210.15418},
+      archivePrefix={arXiv},
+      primaryClass={cs.SD}
+}
+</pre>
 </div>
 """