license: wtfpl
datasets:
- openbmb/RLAIF-V-Dataset
language:
- en
metrics:
- character
tags:
- documentation
---Adio-To-Text
Text-To-Audio
Voice-Analsis
import speech_recognition as sr
class GIDEONunit:
def init(self):
pass
def transcribe_audio(self, audio_file):
recognizer = sr.Recognizer()
Load audio file
with sr.AudioFile(audio_file) as source:
audio_data = recognizer.record(source)
try:
Convert speech to text
text = recognizer.recognize_google(audio_data)
return text
except sr.UnknownValueError:
print("GIDEONunit could not understand the audio.")
return ""
except sr.RequestError as e:
print(f"Could not request results from Google Speech Recognition service; {e}")
return ""
def create_documentation(self, audio_file, output_file):
Transcribe audio to text
text = self.transcribe_audio(audio_file)
Write text to output file
with open(output_file, "w") as f:
f.write(text)
Example usage
if name == "main":
gideon = GIDEONunit()
audio_file = "input_audio.wav"
output_file = "output_documentation.txt"
gideon.create_documentation(audio_file, output_file)
