Update app.py

app.py

@@ -21,7 +21,7 @@ pipe = pipeline(
 )
 
 # Original model setup
-repo_id = "ylacombe/p-m-e"
+repo_id = "parler-tts/parler-tts-mini-multilingual"
 model = ParlerTTSForConditionalGeneration.from_pretrained(repo_id).to(device)
 text_tokenizer = AutoTokenizer.from_pretrained(repo_id)
 description_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-large")
@@ -213,7 +213,7 @@ with gr.Blocks(css=css) as block:
     gr.HTML(
         """<p><a href="https://github.com/huggingface/parler-tts">Parler-TTS</a> is a training and inference library for
 high-fidelity text-to-speech (TTS) models.</p> 
-<p>This multilingual model supports French, Spanish, Italian, Portuguese, Polish, German, Dutch, and English. It generates high-quality speech with features that can be controlled using a simple text prompt.</p>
+<p>This <a href="https://huggingface.co/parler-tts/parler-tts-mini-multilingual">multilingual model</a> supports French, Spanish, Italian, Portuguese, Polish, German, Dutch, and English. It generates high-quality speech with features that can be controlled using a simple text prompt.</p>
 <p>By default, Parler-TTS generates 🎲 random voice characteristics. To ensure 🎯 <b>speaker consistency</b> across generations, try to use consistent descriptions in your prompts.</p>"""
     )