scrach.py

# Adapted from from: https://huggingface.co/spaces/iSky/Speech-audio-to-text-with-grammar-correction/tree/main

# Imports:
import gradio as gr
from transformers import pipeline

# Load Interfaces:
s2t = gr.Interface.load('huggingface/facebook/s2t-medium-librispeech-asr')
grammar = gr.Interface.load('huggingface/prithivida/grammar_error_correcter_v1')


# Audio Functions:
def out(audio1,audio2):
  if (audio1==None) and (audio2==None):
    return "no audio","no audio"
  elif audio1==None:

    x=s2t(audio2)
    return x, grammar(x)
  else:
    x=s2t(audio1)
    return x, grammar(x)


# Construct Interfaces:
iface = gr.Interface(
  fn=out, 
  title="Speech Audio to text (with corrected grammar)",
  description="2 possible input methods of audio file, transformed to text (as an output) and corrected grammar after(another output)!",
  inputs=[gr.inputs.Audio(source="upload", type="filepath", label=None, optional=True),                                           
          gr.inputs.Audio(source="microphone", type="filepath", label=None, optional=True)],
  examples=[["Grammar-Correct-Sample.mp3"], ["Grammar-Wrong-Sample.mp3"],],
  outputs=['text','text']
)

iface.launch(enable_queue=True,show_error=True)


# Hello there I am not in a house. The house was old long ago when everyone was made of snow.

# The house was old long ago when everyone was made of snow.