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Upload categorical_classification.py
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categorical_classification.py
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# -*- coding: utf-8 -*-
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"""Categorical Classification.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/1_5FDUSnfrkNJilGyx-hoov0pnOF1CHWn
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"""
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!pip install gradio transformers
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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tokenizer = AutoTokenizer.from_pretrained("Softechlb/articles_classification")
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model = AutoModelForSequenceClassification.from_pretrained("Softechlb/articles_classification")
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from transformers import pipeline
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classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
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def classify_text(text):
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result = classifier(text)[0]
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label = result["label"]
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return label
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import gradio as gr
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interface = gr.Interface(
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fn=classify_text,
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inputs="textbox",
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outputs="text",
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title="Categorical Classification",
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description="Text classification model Softechlb/articles_classification from Hugging Face that can classify texts into categories.",
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)
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interface.launch(share=True)
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