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| import speech_recognition as sr | |
| import os | |
| from pydub import AudioSegment | |
| import tempfile | |
| class VoiceHandler: | |
| def __init__(self): | |
| self.recognizer = sr.Recognizer() | |
| self.recognizer.energy_threshold = 20000 | |
| self.recognizer.dynamic_energy_threshold = False | |
| self.recognizer.pause_threshold = 0.8 | |
| def process_audio_file(self, audio_path: str, language: str) -> str: | |
| """Process audio file and convert to text""" | |
| try: | |
| # Convert audio to wav format if needed | |
| if not audio_path.endswith('.wav'): | |
| audio = AudioSegment.from_file(audio_path) | |
| temp_wav = tempfile.NamedTemporaryFile(suffix='.wav', delete=False) | |
| audio.export(temp_wav.name, format='wav') | |
| audio_path = temp_wav.name | |
| with sr.AudioFile(audio_path) as source: | |
| audio = self.recognizer.record(source) | |
| if language == "Arabic": | |
| return self.recognizer.recognize_google(audio, language="ar-SA") | |
| elif language == "Mixed (Arabic/English)": | |
| try: | |
| return self.recognizer.recognize_google(audio, language="ar-SA") | |
| except sr.UnknownValueError: | |
| return self.recognizer.recognize_google(audio, language="en-US") | |
| else: # English | |
| return self.recognizer.recognize_google(audio, language="en-US") | |
| except sr.RequestError as e: | |
| return f"Error: Could not request results from speech service: {str(e)}" | |
| except sr.UnknownValueError: | |
| return "Error: Could not understand audio. Please speak clearly and try again." | |
| except Exception as e: | |
| return f"Error: {str(e)}" | |
| finally: | |
| # Clean up temporary file if it was created | |
| if 'temp_wav' in locals(): | |
| os.unlink(temp_wav.name) | |
| def check_microphone_access(self) -> bool: | |
| """Check if microphone is accessible""" | |
| try: | |
| with sr.Microphone() as source: | |
| self.recognizer.adjust_for_ambient_noise(source, duration=0.1) | |
| return True | |
| except (OSError, AttributeError, sr.RequestError): | |
| return False |