Update app.py
Browse files
app.py
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@@ -1,5 +1,6 @@
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import gradio as gr
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import pickle
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import pandas as pd
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import numpy as np
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@@ -19,7 +20,12 @@ nltk.download('stopwords')
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model_checkpoint = "marefa-nlp/marefa-mt-en-ar"
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tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
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model = TFAutoModelForSeq2SeqLM.from_pretrained(model_checkpoint,from_pt=True)
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# Load cleaned_word_embeddings
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with open("cleaned_word_embeddings.pkl", "rb") as f:
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import gradio as gr
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import pickle
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import zipfile
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import pandas as pd
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import numpy as np
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model_checkpoint = "marefa-nlp/marefa-mt-en-ar"
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tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
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#model = TFAutoModelForSeq2SeqLM.from_pretrained(model_checkpoint,from_pt=True)
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with zipfile.ZipFile("tf_model.zip", 'r') as zip_ref:
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zip_ref.extractall("/tfmodel")
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model = TFAutoModelForSeq2SeqLM.from_pretrained("tf_model/")
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# Load cleaned_word_embeddings
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with open("cleaned_word_embeddings.pkl", "rb") as f:
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