Update app.py

app.py

@@ -1,8 +1,5 @@
 import gradio as gr
 import random
-from gtts import gTTS
-import base64
-from io import BytesIO
 from transformers import pipeline
 #https://huggingface.co/facebook/opt-1.3b
 generator = pipeline('text-generation', model="facebook/opt-1.3b")
@@ -15,24 +12,13 @@ def create_audio(input_str):
   output_str = output_str.replace("\n", "")
   output_str = output_str.replace(input_str, "")
   
-  # Convert the sentence to speech using gTTS
-  tts = gTTS(text=output_str, lang="en")
-  # Save the speech as a bytestring in memory
-  tts_io = BytesIO()
-  tts.write_to_fp(tts_io)
-  tts_io.seek(0)
-  tts_data = tts_io.read()
-  # Encode the speech data in base64
-  tts_base64 = base64.b64encode(tts_data).decode("utf-8")
-  # Return the html code to play the audio
-  html = f"<audio src='data:audio/mpeg;base64,{tts_base64}' controls autoplay></audio>"
-  return (output_raw, html)
+  return (output_str)
 
 demo = gr.Interface(
 fn=create_audio,
 inputs="text",
-outputs=["text","html"],
-title="Random Audio Sentence Generator",
+outputs="text",
+title="LLM",
 description="This interface generates a random audio sentence and plays it as a html output."
 )
 demo.launch()