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  1. app.py +32 -0
  2. requirements.txt +4 -0
app.py ADDED
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+
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+ import gradio as gr
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+ import torch
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+ device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
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+
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+ model_name = "MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli"
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+ model = AutoModelForSequenceClassification.from_pretrained(model_name)
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+
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+ premise = ""
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+ hypothesis = ""
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+
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+ def zeroShotClassification(text_input, hypothesis, candidate_labels):
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+ input = tokenizer(text_input, hypothesis, truncation=True, return_tensors="pt")
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+ output = model(input["input_ids"].to(device)) # device = "cuda:0" or "cpu"
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+ prediction = torch.softmax(output["logits"][0], -1).tolist()
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+ label_names = candidate_labels #["entailment", "neutral", "contradiction"]
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+ prediction = {name: round(float(pred) * 100, 1) for pred, name in zip(prediction, label_names)}
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+ return prediction
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+
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+ examples = [
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+ ["Administrative", "Agency Fees and Invoices,Other Acknowledgement,Product Name Designation,Annlication/RegistrationJProcedure Number Assigned,Registration Ownership Transferred,Access to Information I Public Disclosure,First Sale Notification,Lot Release,Letter of Authorization/Access,Clinical Trial Site Information"],
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+ ["Agency Decisions", "Other Decision,Approval,Breakthrough Designation Revoked,Orohan Drug Designation Denied,Not Aoorovable Letter I Reiection Letter,Investigational Trial Hold,Accelerated Assessment,Application/Registration Cancellation-Withdrawal-Terminations,Anorovable Letter/NOC-c,Fast Track Designation Granted,Orohan Drug Designation Granted,Post Approval Commitment Letter,Special Protocol Assessment,Refusal to File,Advanced Therapy Granted,Breakthrough Designation Granted,Fast Track Designation Denied,Fast Track Designation Revoked,Inactivation of Application / Registration,Inspection / Warning Letter,Investigational Trial Hold Release,Orphan Drug Designation Revoked"],
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+ ["Content Review", "Response from Agency,Dear Health Care Professional Letter,Acceptance / Validation / Submission Filed,Agencv Information/Request/Question/Comment,Extension Request Granted,GSK Inquiry,GSK Response to Information/Request/Question/Comment,Variation/Supplement Request,Translation"],
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+ ["General Correspondence","Agency Update,GSK Update"],
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+ ["Meeting Details", "Meeting Agenda / Package,Meeting Request,Meeting Minutes / Outcomes"],
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+ ["Submission Receipt", "Submission Receipt"]
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+ ]
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+
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+ demo = gr.Interface(fn=zeroShotClassification, inputs=[gr.Textbox(label="Input"), gr.Textbox(label="Candidate Labels", value="Meeting Minutes / Outcomes,Submission Receipt")], outputs=gr.Label(label="Classification"), examples=examples)
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+ demo.launch();
requirements.txt ADDED
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+
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+ gradio
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+ transformers
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+ torch