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app.py

@@ -10,7 +10,6 @@ vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
 speaker_embeddings = torch.tensor(embeddings_dataset[7440]["xvector"]).unsqueeze(0)
 
-# checkpoint = "microsoft/speecht5_tts"
 processor = SpeechT5Processor.from_pretrained(model_id)
 
 replacements = [
@@ -96,6 +95,14 @@ replacements = [
 ]
 
 
+title = "Text-to-Speech"
+description = """
+Demo for text-to-speech translation in Greek. Demo uses [Sandiago21/speecht5_finetuned_google_fleurs_greek](https://huggingface.co/Sandiago21/speecht5_finetuned_google_fleurs_greek) checkpoint, which is based on Microsoft's
+[SpeechT5 TTS](https://huggingface.co/microsoft/speecht5_tts) model and is fine-tuned in Greek Audio dataset
+![Text-to-Speech (TTS)"](https://geekflare.com/wp-content/uploads/2021/07/texttospeech-1200x385.png "Diagram of Text-to-Speech (TTS)")
+"""
+
+
 def cleanup_text(text):
     for src, dst in replacements:
         text = text.replace(src, dst)
@@ -114,4 +121,6 @@ syntesize_speech_gradio = gr.Interface(
     inputs = gr.Textbox(label="Text", placeholder="Type something here..."),
     outputs=gr.Audio(),
     examples=["Έλαβαν χώρα μεγάλες διαδηλώσεις στην Πολωνία όταν εκείνη η χώρα υπέγραψε την acta που οδήγησε την κυβέρνηση της πολωνίας να αποφασίσει τη μη επικύρωση της συμφωνίας προς το παρόν"],
+    title=title,
+    description=description,
 ).launch()