Audio completion version 2#44
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Skriller18
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Nov 19, 2024
Skriller18
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- Added voice continuation version 2
romitjain
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Nov 20, 2024
| from .db.feedback import RealFakeFeedbackDB | ||
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| #Imports for audio_completion_v2 | ||
| from openai import OpenAI |
| global whisper_model | ||
| whisper_model = whisper.load_model("small") | ||
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| OpenAI.api_key = os.getenv("OPENAI_API_KEY") |
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An easier way is to store the environment variables in a .env file and use load_dotenv() to make all the environment variables available to the program.
| start_time = time.time() | ||
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| try: | ||
| # 1. Validate file type |
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No need for these types of comments. Comments should ideally not be about What, rather Why
| elif audio.dim() == 1: | ||
| audio = audio.unsqueeze(0) # Add batch dimension if missing | ||
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| # Convert to mono if stereo |
Contributor
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This is already done in L#215, no?
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| #Imports for audio_completion_v2 | ||
| from openai import OpenAI | ||
| import whisper |
Contributor
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Add these to requirements.txt as well
| metrics: TTSMetrics = results.audio_metrics | ||
| audio_tensor = torch.from_numpy(results.audio) | ||
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| if audio_tensor.dim() == 1: |
- Removed comments - Changed imports - Removed byte buffer
Added whisper and openai packages
Truncated the first 5 seconds
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