Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForTextToSpeech, AutoTokenizer
+import torch
+
+# Load the model and tokenizer
+model = AutoModelForTextToSpeech.from_pretrained("parler-tts/parler_tts")
+tokenizer = AutoTokenizer.from_pretrained("parler-tts/parler_tts")
+
+# Define the TTS function
+def text_to_speech(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    speech = model.generate(**inputs)
+    
+    # Convert to an audio format, e.g., 16kHz waveform
+    audio = speech[0].cpu().detach().numpy()
+    return 16000, audio  # Sample rate, waveform
+
+# Gradio interface
+interface = gr.Interface(
+    fn=text_to_speech,
+    inputs="text",
+    outputs="audio",
+    title="Text to Speech",
+    description="Convert text to speech using the parler-tts/parler_tts model"
+)
+
+interface.launch()