deploy new app

app.py

@@ -3,7 +3,7 @@ from typing import Optional
 import gradio as gr
 import subprocess
 import numpy as np
-from TTS.api import TTS
+from TTS.utils.synthesizer import Synthesizer
 
 
 MAX_TXT_LEN = 100
@@ -29,16 +29,16 @@ def generate_audio(text):
     # text1 = subprocess.check_output("pwd", shell=True)+ subprocess.check_output("ls Kinyarwanda_YourTTS", shell=True)
     # text2 = text1.decode("utf-8")
     # return text2
-    tts = TTS(model_path="Kinyarwanda_YourTTS/model.pth",
-            config_path="Kinyarwanda_YourTTS/config.json",
+    synthesizer = Synthesizer("./Kinyarwanda_YourTTS/model.pth",
+            "Kinyarwanda_YourTTS/config.json",
             tts_speakers_file="Kinyarwanda_YourTTS/speakers.pth",
             encoder_checkpoint="Kinyarwanda_YourTTS/SE_checkpoint.pth.tar",
             encoder_config="Kinyarwanda_YourTTS/config_se.json",)
-    wav = tts.tts(text, speaker_wav="Kinyarwanda_YourTTS/conditioning_audio.wav")
-    # with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
-    #     synthesizer.save_wav(wav, fp)
-    #     return fp.name
-    return wav
+    wav = synthesizer.tts(text, speaker_wav="Kinyarwanda_YourTTS/conditioning_audio.wav")
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
+        synthesizer.save_wav(wav, fp)
+        return fp.name
+
 
 iface = gr.Interface(
     fn=generate_audio,
@@ -48,7 +48,7 @@ iface = gr.Interface(
             default="This sentence has been generated by a speech synthesis system.",
         ),
     ],
-    outputs=gr.outputs.Audio(type="numpy",label="Output"),
+    outputs=gr.outputs.Audio(type="file",label="Output"),
     #outputs=gr.outputs.Textbox(label="Recognized speech from speechbrain model"),
     title="Kinyarwanda tts Demo",
     description="Kinyarwanda tts build with ",