Upload app.py

app.py

@@ -414,7 +414,7 @@ z={
 )
 def change_language(value):
     choices = list(PREVIEW_CHOICES[value].items())
-    return gr.Dropdown(choices, value=choices[0], label='Voice', info='⭐ voices are stable, 🧪 are unstable')
+    return gr.Dropdown(choices, value=choices[0][1], label='Voice', info='⭐ voices are stable, 🧪 are unstable')
 
 USE_GPU_CHOICES = [('Auto 🔀', 'auto'), ('CPU 💬', False), ('ZeroGPU 📄', True)]
 USE_GPU_INFOS = {
@@ -787,12 +787,12 @@ with gr.Blocks() as data_card:
 This data card was last updated on **8 Dec 2024**.
 
 Kokoro was trained exclusively on **permissive/non-copyrighted audio data** and IPA phoneme labels. Examples of permissive/non-copyrighted audio include:
-- Public domain audio
-- Audio licensed under Apache, MIT, etc
-- Synthetic audio<sup>[1]</sup> generated by closed<sup>[2]</sup> TTS models from large providers
-- CC BY audio (see below for attribution table)
+* Public domain audio
+* Audio licensed under Apache, MIT, etc
+* Synthetic audio<sup>[1]</sup> generated by closed<sup>[2]</sup> TTS models from large providers
+* CC BY audio (see below for attribution table)
 
-[1] https://copyright.gov/ai/ai_policy_guidance.pdf
+[1] https://copyright.gov/ai/ai_policy_guidance.pdf <br/>
 [2] No open TTS models used
 
 ### Creative Commons Attribution
@@ -805,9 +805,9 @@ The following CC BY audio was part of the dataset used to train Kokoro.
 
 ### Notable Datasets Not Used
 These datasets were **not** used to train Kokoro. They may be of interest to academics:
-- Emilia, `cc-by-nc-4.0`: https://huggingface.co/datasets/amphion/Emilia-Dataset
-- Expresso, `cc-by-nc-4.0`: https://huggingface.co/datasets/ylacombe/expresso
-- JVS corpus, NC clause: https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus
+* Emilia, `cc-by-nc-4.0`: https://huggingface.co/datasets/amphion/Emilia-Dataset
+* Expresso, `cc-by-nc-4.0`: https://huggingface.co/datasets/ylacombe/expresso
+* JVS corpus, NC clause: https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus
 ''')
 
 with gr.Blocks() as app: