Update app.py

app.py

@@ -110,6 +110,26 @@ with gr.Blocks(css=css) as demo_blocks:
                 label = "language",
                 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 = []
@@ -118,26 +138,7 @@ with gr.Blocks(css=css) as demo_blocks:
                 outputs.append(out_audio)
 
 
-    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.Accordion("Run with transformers"):
         gr.Markdown(