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from transformers import AutoModelForSequenceClassification |
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from transformers import AutoTokenizer, AutoConfig |
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from clean_data import cleaned_complaints |
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import numpy as np |
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from scipy.special import softmax |
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import gradio as gr |
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def preprocess(text): |
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new_text = [] |
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for t in text.split(" "): |
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t = '@user' if t.startswith('@') and len(t) > 1 else t |
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t = 'http' if t.startswith('http') else t |
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new_text.append(t) |
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return " ".join(new_text) |
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MODEL = f"ThirdEyeData/Consumer-Complaint-Segmentation" |
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model = AutoModelForSequenceClassification.from_pretrained(MODEL) |
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tokenizer = AutoTokenizer.from_pretrained(MODEL) |
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config = AutoConfig.from_pretrained(MODEL) |
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def classify_compliant(text): |
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text = cleaned_complaints(text) |
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text = preprocess(text) |
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encoded_input = tokenizer(text, return_tensors='pt') |
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output = model(**encoded_input) |
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scores = output[0][0].detach().numpy() |
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scores = softmax(scores) |
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probs = {} |
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ranking = np.argsort(scores) |
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ranking = ranking[::-1] |
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l = config.id2label[ranking[0]] |
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return l |
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title="Consumer Complaint Segmentation" |
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description = """Write a complaint insurance product or service,\ |
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see how the machine learning model is able to predict your Complaint type""" |
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article = """ |
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- Click submit button to test Consumer Complaint Segmentation |
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- Click clear button to refresh text |
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""" |
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gr.Interface(classify_compliant, |
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'text', |
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'label', |
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title = title, |
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description = description, |
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article = article, |
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allow_flagging = "never", |
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live = False, |
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examples=["""Debt to XXXX was satisfied when account was closed and all equipment was returned, XXXX 2014. NO further contact from XXXX XXXX, however, |
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13 months later this " collection \'\' shows up on on my credit report. NO prior written or phone communication. |
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I have attempted to contact this Debt Collector and can not get any information pertaining to my account from the""", |
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"""I receive repeated calls daily from this company. I signed up for a debt consolidation service and they continued to call my personal phone and my place of employment. \nCausing a phone to ring repeatedly in the attempts to annoy or establish communication is against the law. |
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I have asked for the calls to stop and sent a cease and desist and still the calls continue""", |
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"""I was erroneously reported to all three major credit Bureaus by XXXX for a professional fee I paid for {$220.00} on XX/XX/2015. |
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I have the cancelled check. This check cleared the bank on XX/XX/2015. |
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I receivePlease note-I have the recorded call on file and it was disclosed to the company that I was recording. |
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I called Hunter Warfield to come to a resoluation on some lease break fees I had with an apartment complex called XXXX XXXX. |
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The representative told me the total amount due was {$2100.00} and that I can settle for half of that amount. Unfortunately, I was unable to accept the settlement but began to question the amount because my last statement was {$1800.00} and there was nothing written in the contract for additional interest charges should my account go into collection. I told the representative that I will pay the amount actually owed and I want to make a payment arrangement. She told me I ca n\'t just do what I want, If I want to pay the original amount due, it has to be paid in full. I told her that that is not fair debt collection practice and that I am only contractually obligated to the {$1800.00} and we can set up an arrangement from that. |
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She asked me in a condensing told """ , |
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"""ERC is the company, first they say, I owe for this debt that I have no idea or clue what it is or if I even did it. |
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then the debt is about 8 years old, and also threaten take me to court if I don't pay""" |
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] |
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).launch() |
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