from transformers import AutoModelForSequenceClassification from transformers import AutoTokenizer, AutoConfig from clean_data import cleaned_complaints import numpy as np from scipy.special import softmax import gradio as gr # Preprocess text (username and link placeholders) def preprocess(text): new_text = [] for t in text.split(" "): t = '@user' if t.startswith('@') and len(t) > 1 else t t = 'http' if t.startswith('http') else t new_text.append(t) return " ".join(new_text) # load model MODEL = f"ThirdEyeData/Consumer-Complaint-Segmentation" model = AutoModelForSequenceClassification.from_pretrained(MODEL) #model.save_pretrained(MODEL) tokenizer = AutoTokenizer.from_pretrained(MODEL) config = AutoConfig.from_pretrained(MODEL) # create classifier function def classify_compliant(text): text = cleaned_complaints(text) text = preprocess(text) encoded_input = tokenizer(text, return_tensors='pt') output = model(**encoded_input) scores = output[0][0].detach().numpy() scores = softmax(scores) # Print labels and scores probs = {} ranking = np.argsort(scores) ranking = ranking[::-1] l = config.id2label[ranking[0]] #s = scores[ranking[i]] #probs[l] = np.round(float(s), 4) return l #build the Gradio app #Instructuction = "Write an imaginary review about a product or service you might be interested in." title="Consumer Complaint Segmentation" description = """Write a complaint insurance product or service,\ see how the machine learning model is able to predict your Complaint type""" article = """ - Click submit button to test Consumer Complaint Segmentation - Click clear button to refresh text """ gr.Interface(classify_compliant, 'text', 'label', title = title, description = description, #Instruction = Instructuction, article = article, allow_flagging = "never", live = False, examples=["""Debt to XXXX was satisfied when account was closed and all equipment was returned, XXXX 2014. NO further contact from XXXX XXXX, however, 13 months later this " collection \'\' shows up on on my credit report. NO prior written or phone communication. I have attempted to contact this Debt Collector and can not get any information pertaining to my account from the""", """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. I have asked for the calls to stop and sent a cease and desist and still the calls continue""", """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. I have the cancelled check. This check cleared the bank on XX/XX/2015. I receivePlease note-I have the recorded call on file and it was disclosed to the company that I was recording. I called Hunter Warfield to come to a resoluation on some lease break fees I had with an apartment complex called XXXX XXXX. 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. She asked me in a condensing told """ , """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. then the debt is about 8 years old, and also threaten take me to court if I don't pay""" ] ).launch()