app.py

import gradio as gr
from os import getenv
from huggingface_hub import hf_hub_download
from torch import device as Device
from torch.cuda import is_available as cuda_is_available
from indicai_projects.indic_tts import Indic_TTS
from indicai_projects.sanskrit_tts import SansTTS
from indicai_projects.lite_tts import Lite_TTS
from indicai_projects.speech2text_translation import INDIC_SEAMLESS
from indicai_projects.speech2text_all import Indic_STT_ALL
from zipfile import ZipFile
device = Device("cuda" if cuda_is_available() else "cpu")

indic_tts_lang = getenv("indic_tts_lang","hi")
ZipFile(hf_hub_download("shethjenil/CONFORMER_INDIC_STT","conformer_onnx.zip"), 'r').extractall("conformer_onnx")
indic_stt_all_model = Indic_STT_ALL("conformer_onnx",device)
indic_tts = Indic_TTS(indic_tts_lang,device)
sans_tts = SansTTS(device)
vits_tts = Lite_TTS(device)
indic_seamless_model = INDIC_SEAMLESS(device)

gr.TabbedInterface(
    [
        gr.Interface(indic_tts.predict,[gr.Textbox(label="Enter Text"),gr.Dropdown(indic_tts.speakers, label="speaker"),],gr.Audio(type="filepath", label="Speech")),
        gr.Interface(sans_tts.predict,[gr.Textbox(value="उद्यमेन हि सिध्यन्ति कार्याणि न मनोरथैः"),gr.Dropdown(sans_tts.speakers,label='Speaker'),gr.Slider(0.5,2,1,step=0.1,label='Speaking Speed')],gr.Audio(label="Speech")),
        gr.Interface(vits_tts.predict,[gr.Textbox(),gr.Dropdown(vits_tts.speakers,label='Speaker'),gr.Dropdown(vits_tts.styles,label='Style')],gr.Audio(label="Speech")),
        gr.Interface(indic_seamless_model.predict,[gr.Audio(type="filepath"),gr.Dropdown(list(indic_seamless_model.lang_conf.keys()), label="Target Language"),],gr.Text(label="Translations"),title="Audio Translation",),
        gr.Interface(indic_stt_all_model.predict,[gr.Audio(type="filepath"),gr.Dropdown(indic_stt_all_model.supported_langs,label='Language')],[gr.Text(label="CTC"),gr.Text(label="RNNT")]),
    ],
    [
        f"{indic_tts.full_name} TTS",
        "Sanskrit TTS",
        "Lite TTS With ",
        "Audio Translation",
        "All Indic Speech To Text",
    ],
).launch()