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| import os | |
| # License agreement bypass | |
| os.environ["COQUI_TOS_AGREED"] = "1" | |
| import gradio as gr | |
| from TTS.api import TTS | |
| # Model Load (CPU Mode) | |
| print("⏳ Model load ho raha hai... Isme 2-3 minute lagenge...") | |
| tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=False) | |
| def predict(text, speaker_audio): | |
| output_path = "output.wav" | |
| # Hindi Text to Speech generation | |
| tts.tts_to_file( | |
| text=text, | |
| speaker_wav=speaker_audio, | |
| language="hi", | |
| file_path=output_path | |
| ) | |
| return output_path | |
| # App Interface | |
| demo = gr.Interface( | |
| fn=predict, | |
| inputs=[ | |
| gr.Textbox(label="Hindi Text"), | |
| gr.Audio(label="Reference Audio (Brian)", type="filepath") | |
| ], | |
| outputs=gr.Audio(label="Generated Audio"), | |
| title="Jobssphere AI Voice Engine" | |
| ) | |
| demo.launch() | |