| import gradio as gr | |
| from spacy import displacy | |
| from transformers import AutoTokenizer, AutoModelForTokenClassification,pipeline | |
| tokenizer = AutoTokenizer.from_pretrained("ShishuTripathi/AdverseDrugExtraction") | |
| model = AutoModelForTokenClassification.from_pretrained("ShishuTripathi/AdverseDrugExtraction").to('cpu') | |
| adr_ner_model = pipeline(task="ner", model=model, tokenizer=tokenizer,grouped_entities=True) | |
| def get_adr_from_text(sentence): | |
| tokens = adr_ner_model(sentence) | |
| entities = [] | |
| for token in tokens: | |
| label = token["entity_group"] | |
| if label != "O": | |
| token["label"] = label | |
| entities.append(token) | |
| params = [{"text": sentence, | |
| "ents": entities, | |
| "title": None}] | |
| html = displacy.render(params, style="ent", manual=True, options={ | |
| "colors": { | |
| "DRUG": "#f08080", | |
| "ADR": "#9bddff", | |
| }, | |
| }) | |
| return html | |
| exp=["Abortion, miscarriage or uterine hemorrhage associated with misoprostol (Cytotec), a labor-inducing drug.", | |
| "Addiction to many sedatives and analgesics, such as diazepam, morphine, etc.", | |
| "Birth defects associated with thalidomide", | |
| "Bleeding of the intestine associated with aspirin therapy", | |
| "Cardiovascular disease associated with COX-2 inhibitors (i.e. Vioxx)", | |
| "Deafness and kidney failure associated with gentamicin (an antibiotic)", | |
| "Having fever after taking paracetamol"] | |
| desc="An adverse drug reaction (ADR) can be defined as an appreciably harmful or unpleasant reaction resulting from an intervention related to the use of a medicinal product.\ | |
| The goal of this project is to extracts the adverse drug reaction from unstructured text with the Drug." | |
| inp=gr.inputs.Textbox(lines=5, placeholder=None, default="", label="text to extract adverse drug reaction and drug mention") | |
| out=gr.outputs.HTML(label=None) | |
| iface = gr.Interface(fn=get_adr_from_text, inputs=inp, outputs=out,examples=exp,article=desc,title="Adverse Drug Reaction Xtractor",theme="huggingface",layout='horizontal') | |
| iface.launch() |