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The inferece_hf.py will compute the evaluation metrics (reported in the paper) from the checkpoints we uploaded in huggingface. For each text prompt, only one audio sample will be generated.
The inferece.py has additional functionality to generate multiple audio samples for each text prompt and then re-ranking them according to CLAP scores.
I noticed that you updated the inference_hf.py file in your tango repository. May I kindly ask how it differs from the inference.py file?
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