Aaron Boxer
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
import sys
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import requests
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if len(sys.argv) < 2:
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print("Usage: python transcribe_file.py <path_to_audio_file>")
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sys.exit(1)
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audio_file = sys.argv[1]
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# Configuration
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host = "localhost"
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port = 8000 # Default REST port; change if you used --rest_port
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url = f"http://{host}:{port}/v1/audio/transcriptions"
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model = "small" # Or "whisper-1" (mapped to small internally)
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language = "en" # Or "hi" for Hindi
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response_format = "json" # Options: "json", "text", "verbose_json", "srt", "vtt"
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# Prepare the request
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files = {"file": open(audio_file, "rb")}
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data = {
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"model": model,
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"language": language,
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"response_format": response_format,
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# Optional: Add "prompt" for style guidance, "temperature" (0-1), etc.
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}
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# Send the request
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response = requests.post(url, files=files, data=data)
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if response.status_code == 200:
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if response_format == "json" or response_format == "verbose_json":
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result = response.json()
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print("Transcript:", result.get("text", "No text found"))
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# If you need translation, post-process here (e.g., using another API like Google Translate)
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else:
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print("Transcript:", response.text)
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else:
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print("Error:", response.status_code, response.json().get("error", "Unknown error"))
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