Update app.py

app.py

@@ -111,25 +111,7 @@ with gr.Blocks(css=css) as demo_blocks:
                 info = "Language that you want to test"
             )
 
-            gr.Markdown("""
-    ## Datasets and models details
-    
-    ### English
-    
-    * **Model**: [VITS-ljs](https://huggingface.co/kakao-enterprise/vits-ljs)
-    * **Dataset**: [British Isles Accent](https://huggingface.co/datasets/ylacombe/english_dialects). For each accent, we used 100 to 150 samples of a single speaker to finetune [VITS-ljs](https://huggingface.co/kakao-enterprise/vits-ljs).
-    
-    ### Spanish
-    
-    * **Model**: [Spanish MMS TTS](https://huggingface.co/facebook/mms-tts-spa). This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.org/abs/2305.13516) project, aiming to
-    provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the [MMS Language Coverage Overview](https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html),
-    and see all MMS-TTS checkpoints on the Hugging Face Hub: [facebook/mms-tts](https://huggingface.co/models?sort=trending&search=facebook%2Fmms-tts).
-    * **Datasets**:  For each accent, we used 100 to 150 samples of a single speaker to finetune the model.
-        - [Colombian Spanish TTS dataset](https://huggingface.co/datasets/ylacombe/google-colombian-spanish).
-        - [Argentinian Spanish TTS dataset](https://huggingface.co/datasets/ylacombe/google-argentinian-spanish).
-        - [Chilean Spanish TTS dataset](https://huggingface.co/datasets/ylacombe/google-chilean-spanish).
-                
-                """) 
+
             
         with gr.Column():
             outputs = []
@@ -138,9 +120,26 @@ with gr.Blocks(css=css) as demo_blocks:
                 outputs.append(out_audio)
 
 
+    with gr.Accordion("Datasets and models details"):
+        gr.Markdown("""    
+### English
+
+* **Model**: [VITS-ljs](https://huggingface.co/kakao-enterprise/vits-ljs)
+* **Dataset**: [British Isles Accent](https://huggingface.co/datasets/ylacombe/english_dialects). For each accent, we used 100 to 150 samples of a single speaker to finetune [VITS-ljs](https://huggingface.co/kakao-enterprise/vits-ljs).
+
+### Spanish
 
+* **Model**: [Spanish MMS TTS](https://huggingface.co/facebook/mms-tts-spa). This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.org/abs/2305.13516) project, aiming to
+provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the [MMS Language Coverage Overview](https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html),
+and see all MMS-TTS checkpoints on the Hugging Face Hub: [facebook/mms-tts](https://huggingface.co/models?sort=trending&search=facebook%2Fmms-tts).
+* **Datasets**:  For each accent, we used 100 to 150 samples of a single speaker to finetune the model.
+    - [Colombian Spanish TTS dataset](https://huggingface.co/datasets/ylacombe/google-colombian-spanish).
+    - [Argentinian Spanish TTS dataset](https://huggingface.co/datasets/ylacombe/google-argentinian-spanish).
+    - [Chilean Spanish TTS dataset](https://huggingface.co/datasets/ylacombe/google-chilean-spanish).
+            
+                """) 
 
-    with gr.Accordion("Run VITS and MMS with transformers"):
+    with gr.Accordion("Run VITS and MMS with transformers", open=False):
         gr.Markdown(
             """
         ```bash