Create app.py

app.py

@@ -0,0 +1,37 @@
+import os
+import torch
+from TTS.api import TTS
+import gradio as gr
+from TTS.tts.configs.xtts_config import XttsConfig
+from TTS.tts.models.xtts import Xtts
+from scipy.io.wavfile import write
+import numpy as np
+from transformers import pipeline
+
+
+
+def tts_generate(text, speaker_wav="model2.mp3"):
+    # Get device
+    device = device = "cuda" if torch.cuda.is_available() else "cpu"
+
+    # Run TTS
+
+    asr = pipeline("Text-to-Speech", model="coqui/XTTS-v1")
+
+    # generate speech by cloning a voice using default settings
+    tts.tts_to_file(text=text, speaker_wav="voice_models/" + speaker_wav, language="en", file_path="output.wav")
+    return "output.wav"
+    
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=tts_generate, 
+                     inputs=["text", "text"], 
+                     outputs=["audio"],
+                     examples=[
+                         ["Hello Jhon. Welcome to our group.", "model1.wav"],
+                         ["Hello Jhon. Welcome to our group.", "model2.mp3"]]
+                     )
+iface.launch(share=True, debug=True)
+
+# tts_generate("Hello Jhon. Welcome to our group.", "model2.mp3")