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Update main.py
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main.py
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@@ -4,11 +4,16 @@ os.environ["HF_HOME"] = "/.cache"
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import re
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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import re
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inputs = ["Mask Generation: " + text]
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inputs = tokenizer(inputs, max_length=512, truncation=True, return_tensors="pt")
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@@ -31,7 +36,10 @@ async def hello():
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@app.post("/mask")
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async def mask_input(query):
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return {"data" : output}
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if __name__ == '__main__':
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import re
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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model_dir_small = 'edithram23/Redaction'
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tokenizer_small = AutoTokenizer.from_pretrained(model_dir)
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model_small = AutoModelForSeq2SeqLM.from_pretrained(model_dir)
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model_dir_large = 'edithram23/Redaction_Personal_info_v1'
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tokenizer_large = AutoTokenizer.from_pretrained(model_dir)
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model_large = AutoModelForSeq2SeqLM.from_pretrained(model_dir)
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def mask_generation(text,model=model_small,tokenizer=tokenizer_small):
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import re
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inputs = ["Mask Generation: " + text]
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inputs = tokenizer(inputs, max_length=512, truncation=True, return_tensors="pt")
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@app.post("/mask")
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async def mask_input(query):
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if(len(query)<90):
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output = mask_generation(query)
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else:
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output = mask_generation(query,model_large,tokenizer_large)
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return {"data" : output}
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if __name__ == '__main__':
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