Delete job_coach_testing_site_zeroshot.py

job_coach_testing_site_zeroshot.py

@@ -1,58 +0,0 @@
-# -*- coding: utf-8 -*-
-"""Job-coach-testing-site-zeroshot.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/github/vanderbilt-data-science/job-coach-question-answering/blob/111-create-a-gradio-hf-space-to-test-whether-specific-information-is-in-a-coaching-document/job-coach-testing-zeroshot.ipynb
-"""
-
-import gradio as gr
-
-import torch
-from transformers import AutoTokenizer, AutoModelForQuestionAnswering
-from transformers import pipeline
-
-classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
-question_answerer = pipeline("question-answering", model = "bert-large-uncased-whole-word-masking-finetuned-squad")
-def zshot(context, queries):
-    answered=[]
-    res=[]
-    notAnswered=[]
-    queries=queries.split("?")
-    queries.pop(-1)
-    for query in queries:
-      query.strip()
-      result = question_answerer(question = query, context=context)
-      answered.append([query,result['answer']])
-    
-    for item in answered:
-      result = ([text, classifier(text, item[0])])
-      if result[1]['scores'][0] > 0.01:
-        res.append(item[0] +"?   Answer: " + item[1])
-      else:
-        notAnswered.append(item[0])
-    result1=''',
-    '''.join(res) 
-    result1='''Information Included in the Document: 
-    '''+ result1
-    result2=''',
-    '''.join(notAnswered) 
-    result2='''
-    Information not included in the document, on no clearly stated: 
-    '''+ result2
-
-    return result1 + result2
-    
-
-app = gr.Interface(
-    zshot,
-    inputs=[
-        gr.Textbox(label="Context", value=""),
-        gr.Textbox(label="Queries", value=""),
-    ],
-    outputs=["text"],
-)
-app.launch()
-
-"""#### Examples"""