Update app.py

app.py

@@ -1,21 +1,21 @@
 import gradio as gr
-# from TTS.api import TTS
+from TTS.api import TTS
 
-# tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False)
+tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False)
 
-# def predict(text):
-#     file_path = "output.wav"
-#     tts.tts_to_file(text, speaker=tts.speakers[0], language="en", file_path=file_path)
-#     return file_path
+def predict(text):
+    file_path = "output.wav"
+    tts.tts_to_file(text, speaker=tts.speakers[0], language="en", file_path=file_path)
+    return file_path
 
-# demo = gr.Interface(
-#     fn=predict,
-#     inputs='text',
-#     outputs='audio'
-# )
+demo = gr.Interface(
+    fn=predict,
+    inputs='text',
+    outputs='audio'
+)
 
 
-# demo.launch()
+demo.launch()
 
 
 # import requests
@@ -59,24 +59,24 @@ import gradio as gr
 
 # demo.launch()
 
-import openai
-import os
-#from pymongo import MongoClient
+# import openai
+# import os
+# #from pymongo import MongoClient
 
-api_key = os.environ.get("OPENAI_API_KEY")
+# api_key = os.environ.get("OPENAI_API_KEY")
 
-def transcribe_audio(filepath):
-    audio = open(filepath, "rb")
-    transcript = openai.Audio.transcribe("whisper-1", audio)
-    return transcript['text']
+# def transcribe_audio(filepath):
+#     audio = open(filepath, "rb")
+#     transcript = openai.Audio.transcribe("whisper-1", audio)
+#     return transcript['text']
     
 
-# Create a Gradio Tabbed Interface
-iface = gr.Interface(
-    fn=transcribe_audio,
-    inputs= gr.Audio(source="upload", type="filepath"),
-    outputs="text",
-)
+# # Create a Gradio Tabbed Interface
+# iface = gr.Interface(
+#     fn=transcribe_audio,
+#     inputs= gr.Audio(source="upload", type="filepath"),
+#     outputs="text",
+# )
 
 
-iface.launch()
+# iface.launch()