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| import sys | |
| import torch | |
| from transformers import ClapModel, ClapProcessor | |
| from config import config | |
| models = dict() | |
| processor = ClapProcessor.from_pretrained("./emotional/clap-htsat-fused") | |
| def get_clap_audio_feature(audio_data, device=config.bert_gen_config.device): | |
| if ( | |
| sys.platform == "darwin" | |
| and torch.backends.mps.is_available() | |
| and device == "cpu" | |
| ): | |
| device = "mps" | |
| if not device: | |
| device = "cuda" | |
| if device not in models.keys(): | |
| models[device] = ClapModel.from_pretrained("./emotional/clap-htsat-fused").to( | |
| device | |
| ) | |
| with torch.no_grad(): | |
| inputs = processor( | |
| audios=audio_data, return_tensors="pt", sampling_rate=48000 | |
| ).to(device) | |
| emb = models[device].get_audio_features(**inputs) | |
| return emb.T | |
| def get_clap_text_feature(text, device=config.bert_gen_config.device): | |
| if ( | |
| sys.platform == "darwin" | |
| and torch.backends.mps.is_available() | |
| and device == "cpu" | |
| ): | |
| device = "mps" | |
| if not device: | |
| device = "cuda" | |
| if device not in models.keys(): | |
| models[device] = ClapModel.from_pretrained("./emotional/clap-htsat-fused").to( | |
| device | |
| ) | |
| with torch.no_grad(): | |
| inputs = processor(text=text, return_tensors="pt").to(device) | |
| emb = models[device].get_text_features(**inputs) | |
| return emb.T | |