init!

app.py

@@ -1,3 +1,20 @@
+import gradio as gr
+import torch
+from TTS.api import TTS
+
+# Assume that the TTS and its required setup are correctly configured similar to your script above
+device = "cuda:0" if torch.cuda.is_available() else "cpu"
+tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2", progress_bar=False).to(device)
+
+def generate_voice(text, audio_file_path):
+    output_path = "/content/cloned_audio.wav"  # Setting the output path
+    tts.tts_to_file(text,
+                    speaker_wav=audio_file_path,  # Directly use the file path string
+                    language="en",  # Assuming the language is English
+                    file_path=output_path,
+                    split_sentences=True)
+    return output_path
+    
 import gradio as gr
 # Define the Gradio interface
 iface = gr.Interface(