nouamanetazi HF staff commited on
Commit
92bb01c
1 Parent(s): 7551cd5

update reqs

Browse files
Files changed (2) hide show
  1. app.py +3 -4
  2. requirements.txt +2 -1
app.py CHANGED
@@ -8,13 +8,12 @@ from utils.audio import load_spectrograms
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  from utils.compute_args import compute_args
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  from utils.tokenize import tokenize, create_dict, sent_to_ix, cmumosei_2, cmumosei_7, pad_feature
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  from model_LA import Model_LA
 
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  device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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- working_dir = "."
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-
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  # load model
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- ckpts_path = os.path.join(working_dir, 'ckpt')
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  model_name = "Model_LA_e"
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  # Listing sorted checkpoints
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  ckpts = sorted(glob.glob(os.path.join(ckpts_path, model_name,'best*')), reverse=True)
@@ -63,7 +62,7 @@ def inference(video_path, text):
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  pred = net(x, y, z).cpu().data.numpy()
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  label_to_ix = ['happy', 'sad', 'angry', 'fear', 'disgust', 'surprise']
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  result_dict = dict(zip(label_to_ix, pred[0]))
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- return out
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  title="Emotion Recognition"
 
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  from utils.compute_args import compute_args
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  from utils.tokenize import tokenize, create_dict, sent_to_ix, cmumosei_2, cmumosei_7, pad_feature
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  from model_LA import Model_LA
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+ import gradio as gr
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  device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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  # load model
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+ ckpts_path = 'ckpt'
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  model_name = "Model_LA_e"
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  # Listing sorted checkpoints
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  ckpts = sorted(glob.glob(os.path.join(ckpts_path, model_name,'best*')), reverse=True)
 
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  pred = net(x, y, z).cpu().data.numpy()
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  label_to_ix = ['happy', 'sad', 'angry', 'fear', 'disgust', 'surprise']
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  result_dict = dict(zip(label_to_ix, pred[0]))
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+ return result_dict
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  title="Emotion Recognition"
requirements.txt CHANGED
@@ -1,2 +1,3 @@
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  https://github.com/explosion/spacy-models/releases/download/en_vectors_web_lg-2.1.0/en_vectors_web_lg-2.1.0.tar.gz
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- torch==1.9.1
 
 
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  https://github.com/explosion/spacy-models/releases/download/en_vectors_web_lg-2.1.0/en_vectors_web_lg-2.1.0.tar.gz
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+ torch==1.9.1
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+ librosa