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# >>>>>> Adapted/frankensteined from these scripts: <<<<<<<
# for Summary Interface:
# >>>>https://huggingface.co/spaces/khxu/pegasus-text-summarizers/blob/main/app.py
#
import gradio as gr
from transformers import pipeline
from gradio.mix import Parallel, Series
# >>>>>>>>>>>>>>>>>>>> Danger Below <<<<<<<<<<<<<<<<<<<<<<
# 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)
io1(x) # Summarize Audio with Lil_sumsum
return grammar(x) # Grammar Filter
else:
x=s2t(audio1)
io1(x) # Summarize Audio with Lil_sumsum
return grammar(x) # Grammar Filter
# Construct Interfaces:
iface = gr.Interface(
fn=out,
title="Speech Audio to text (with corrected grammar)",
description="Let's Hear It!! This app transforms your speech (input) to text with corrected grammar after (output)!",
inputs=[gr.inputs.Audio(source="microphone", type="filepath", label=None, optional=True)],
outputs=['text']
)
# From Original Code:
# gr.inputs.Audio(source="upload", type="filepath", label=None, optional=True),
# examples=[["Grammar-Correct-Sample.mp3"], ["Grammar-Wrong-Sample.mp3"],],
# Launch Interface
iface.launch(enable_queue=True,show_error=True) |