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| import gradio as gr | |
| import torch | |
| from transformers import pipeline | |
| import pandas as pd | |
| tqa = pipeline(task = 'table-question-answering',model='google/tapas-base-finetuned-wtq') | |
| table = pd.read_csv("queries.csv") | |
| table = table.astype(str) | |
| def input_query(Type_your_query_here): | |
| return (tqa(table=table,query=Type_your_query_here)['answer']) | |
| iface = gr.Interface(fn=input_query,inputs="text",outputs="text", title = "Siva's Assistant",description="My assistant will answer the queries related to our section's Faculty Name,Faculty Mobile Number,Faculity Cabin Number,Classroom Number,Timetable of the class for each subject") | |
| iface.launch() | |