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Update app.py
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app.py
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@@ -11,7 +11,8 @@ from transformers import AutoConfig
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import torch.nn.functional as F
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi import UploadFile, File
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import fitz
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pdf_cache = {"text": None}
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@@ -43,7 +44,9 @@ def anq():
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qnap = "krrishsinha/nlpques-ans"
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return k
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import torch.nn.functional as F
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi import UploadFile, File
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import fitz
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from transformers import AutoModelForSequenceClassification, AutoModelForQuestionAnswering
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pdf_cache = {"text": None}
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qnap = "krrishsinha/nlpques-ans"
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tokenizer = AutoTokenizer.from_pretrained(qnap, use_fast=False)
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model = AutoModelForQuestionAnswering.from_pretrained(qnap)
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k = pipeline("question-answering", model=model, tokenizer=tokenizer)
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return k
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