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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)