update app.py

app.py

@@ -87,14 +87,8 @@ def inference(
     # torchaudio.save("output.wav", wav.cpu(), 24000)
     # yield (None, gr.make_waveform(audio="output.wav",))
 def main():
-    title = "Tortoise TTS 🐢"
+    title = "Tortoise TTS"
     description = """
-    A text-to-speech system which powers lot of organizations in Speech synthesis domain.
-    <br/>
-    a model with strong multi-voice capabilities, highly realistic prosody and intonation.
-    <br/>
-    for faster inference, use the 'ultra_fast' preset and duplicate space if you don't want to wait in a queue.
-    <br/>
     """
     text = gr.Textbox(
         lines=4,
@@ -104,12 +98,6 @@ def main():
     voice = gr.Dropdown(
         VOICE_OPTIONS, value="jane_eyre", label="Select voice:", type="value"
     )
-    voice_b = gr.Dropdown(
-        VOICE_OPTIONS,
-        value="disabled",
-        label="(Optional) Select second voice:",
-        type="value",
-    )
 
     output_audio = gr.Audio(label="streaming audio:", streaming=True, autoplay=True)
     # download_audio = gr.Audio(label="dowanload audio:")
@@ -117,9 +105,7 @@ def main():
         fn=inference,
         inputs=[
             text,
-            script,
             voice,
-            voice_b,
             split_by_newline,
         ],
         title=title,