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| import gradio as gr | |
| import speech_recognition as sr | |
| def speech_to_text_from_file(audio_file): | |
| recognizer = sr.Recognizer() | |
| try: | |
| with sr.AudioFile(audio_file) as source: | |
| audio = recognizer.record(source) | |
| text = recognizer.recognize_google(audio) | |
| return text | |
| except sr.UnknownValueError: | |
| return "❌ Could not understand the audio." | |
| except sr.RequestError: | |
| return "❌ API unavailable or internet issue." | |
| except Exception as e: | |
| return f"❌ Error: {str(e)}" | |
| iface = gr.Interface( | |
| fn=speech_to_text_from_file, | |
| inputs=gr.Audio(type="filepath", label="Upload Audio File (WAV/FLAC/AIFF)"), | |
| outputs=gr.Textbox(label="Transcribed Text"), | |
| title="🗣️ Speech-to-Text Converter", | |
| description="Upload an audio file (WAV, FLAC, AIFF) to get a text transcription using Google Speech Recognition.", | |
| allow_flagging="never" | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() |