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import gradio as gr
from transformers import pipeline
from pydub import AudioSegment
pipe = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
dictionary = {' ': '/',
"'": '.----.',
'0': '-----',
'1': '.----',
'2': '..---',
'3': '...--',
'4': '....-',
'5': '.....',
'6': '-....',
'7': '--...',
'8': '---..',
'9': '----.',
'?': '..--..',
'A': '.-',
'B': '-...',
'C': '-.-.',
'D': '-..',
'E': '.',
'F': '..-.',
'G': '--.',
'H': '....',
'I': '..',
'J': '.---',
'K': '-.-',
'L': '.-..',
'M': '--',
'N': '-.',
'O': '---',
'P': '.--.',
'Q': '--.-',
'R': '.-.',
'S': '...',
'T': '-',
'U': '..-',
'V': '...-',
'W': '.--',
'X': '-..-',
'Y': '-.--',
'Z': '--..',
}
def asr(speech):
dummy = AudioSegment.from_file("dummy.mp3", format="mp3")
dot = AudioSegment.from_file("dot.mp3", format="mp3")
dash = AudioSegment.from_file("dash.mp3", format="mp3")
space = AudioSegment.from_file("space.mp3", format="mp3")
i=0
transcript = pipe(speech)['text']
morseCode = ""
for character in transcript:
morseCode += dictionary[character] + " "
while i<len(morseCode):
if morseCode[i] == ".":
dummy = dummy + dot
i = i+1
elif morseCode[i] == "-":
dummy = dummy + dash
i = i+1
elif morseCode[i] == " ":
dummy = dummy + space
i = i+1
else:
i = i+1
morseAudio = dummy.export("output.mp3", format="mp3")
return transcript, morseCode, "output.mp3"
gr.Interface(fn=asr,
inputs = gr.inputs.Audio(source="microphone", type="filepath", optional=False, label="Please record your voice"),
# inputs = gr.inputs.Audio(source="upload", type="filepath", label="Upload your audio file here"),
outputs = [gr.outputs.Textbox(type="str", label="Text Translation"),
gr.outputs.Textbox(type="str", label="Morse Code"),
gr.outputs.Audio(type="file", label="Audio Translation")],
title = "Speech to Morse Code",
description = "This app will translate your speech into text, morse code, and audio.",
examples = [["hello world.mp3"], ["intro.mp3"]],
article = "Author: <a href=\"https://huggingface.co/epdavid2\">Edson</a>"
).launch() |