deploy tts

app.py

@@ -25,12 +25,19 @@ def generate_audio(text):
     # if synthesizer is None:
     #     raise NameError("model not found")
     #tts_engine= TextToSpeech()
-    text1 = subprocess.check_output("pwd", shell=True)+ subprocess.check_output("ls Kinyarwanda_YourTTS", shell=True)
-    text2 = text1.decode("utf-8")
-    return text2
+    # 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",
+            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
 
 iface = gr.Interface(
     fn=generate_audio,
@@ -40,8 +47,8 @@ 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.Textbox(label="Recognized speech from speechbrain model"),
+    outputs=gr.outputs.Audio(type="numpy",label="Output"),
+    #outputs=gr.outputs.Textbox(label="Recognized speech from speechbrain model"),
     title="Kinyarwanda tts Demo",
     description="Kinyarwanda tts build with ",
     allow_flagging=False,