mirror of
https://github.com/ggerganov/whisper.cpp.git
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a13a7da5ad
* rebase and add simple python interface * moved python files to examples/python
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
import subprocess
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import sys
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import os
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def process_audio(wav_file, model_name="base.en"):
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"""
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Processes an audio file using a specified model and returns the processed string.
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:param wav_file: Path to the WAV file
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:param model_name: Name of the model to use
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:return: Processed string output from the audio processing
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:raises: Exception if an error occurs during processing
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"""
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model = f"./models/ggml-{model_name}.bin"
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# Check if the file exists
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if not os.path.exists(model):
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raise FileNotFoundError(f"Model file not found: {model} \n\nDownload a model with this command:\n\n> bash ./models/download-ggml-model.sh {model_name}\n\n")
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if not os.path.exists(wav_file):
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raise FileNotFoundError(f"WAV file not found: {wav_file}")
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full_command = f"./main -m {model} -f {wav_file} -np -nt"
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# Execute the command
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process = subprocess.Popen(full_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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# Get the output and error (if any)
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output, error = process.communicate()
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if error:
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raise Exception(f"Error processing audio: {error.decode('utf-8')}")
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# Process and return the output string
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decoded_str = output.decode('utf-8').strip()
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processed_str = decoded_str.replace('[BLANK_AUDIO]', '').strip()
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return processed_str
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def main():
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if len(sys.argv) >= 2:
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wav_file = sys.argv[1]
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model_name = sys.argv[2] if len(sys.argv) == 3 else "base.en"
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try:
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result = process_audio(wav_file, model_name)
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print(result)
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except Exception as e:
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print(f"Error: {e}")
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else:
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print("Usage: python whisper_processor.py <wav_file> [<model_name>]")
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if __name__ == "__main__":
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main()
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