Update app.py

app.py

@@ -1,24 +1,24 @@
-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_model = SansTTS(hf_hub_download("shethjenil/INDIC_TTS","sanskrit_tts_model.pth"),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_model.predict,[gr.Textbox(value="उद्यमेन हि सिध्यन्ति कार्याणि न मनोरथैः"),gr.Dropdown(sans_tts_model.speakers,label='Speaker',type='index'),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.List(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()
+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_model = SansTTS(hf_hub_download("shethjenil/INDIC_TTS","sanskrit_tts_model.pth"),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_model.predict,[gr.Textbox(value="उद्यमेन हि सिध्यन्ति कार्याणि न मनोरथैः"),gr.Dropdown(sans_tts_model.speakers,label='Speaker',type='index'),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()