Create app.py

app.py

@@ -0,0 +1,28 @@
+import os
+os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/marathi/mr-IN/female_voice_0/glow.zip && unzip -q glow.zip -d ttsv/checkpoints/female')
+os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/marathi/mr-IN/female_voice_0/hifi.zip && unzip -q hifi.zip -d ttsv/checkpoints/female')
+os.system('rm glow.zip && rm hifi.zip')
+# os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/hindi/hi-IN/male_voice_1/glow.zip && unzip -q glow.zip -d ttsv/checkpoints/male')
+# os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/tts/hindi/hi-IN/male_voice_1/hifi.zip && unzip -q hifi.zip -d ttsv/checkpoints/male')
+os.system('wget -q https://storage.googleapis.com/vakyansh-open-models/translit_models.zip -P ttsv/checkpoints/ && unzip -q ttsv/checkpoints/translit_models.zip -d ttsv/checkpoints/')
+
+
+for path, subdirs, files in os.walk('ttsv/checkpoints/'):
+    print(subdirs)
+    for name in files:
+        print(os.path.join(path, name))
+
+from ttsv.utils.inference.run_gradio import *
+from argparse import Namespace
+
+#os.system('python ttsv/utils/inference/run_gradio.py -a ttsv/checkpoints/glow/male -v ttsv/checkpoints/hifi/male -d cpu -L hi')
+
+
+args = {
+    'acoustic':'/home/user/app/ttsv/checkpoints/female/glow_ckp',
+    'vocoder':'/home/user/app/ttsv/checkpoints/female/hifi_ckp',
+    'device':'cpu',
+    'lang':'mr'
+}
+
+build_gradio(Namespace(**args))