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moonahhyun
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383d625
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Parent(s):
6812aa7
Create app.py
Browse files
app.py
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import streamlit as st
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from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
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from datasets import load_dataset
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dataset = load_dataset('HUPD/hupd',
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name='sample',
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data_files="https://huggingface.co/datasets/HUPD/hupd/blob/main/hupd_metadata_2022-02-22.feather",
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icpr_label=None,
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train_filing_start_date='2016-01-01',
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train_filing_end_date='2016-01-01',
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val_filing_start_date='2016-01-30',
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val_filing_end_date='2016-01-31',
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)
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p_number = dataset["validation"]["patent_number"][:10]
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p_abstract = dataset["validation"]["abstract"][:10]
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p_claims = dataset["validation"]["claims"][:10]
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p_decision = dataset["validation"]["decision"][:10]
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# Streamlit app
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st.title("Patentability Score")
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selected_model = st.selectbox("App. ID:", p_number)
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# st.write("Select a patent application ID")
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# text = st.text_input("Text:", "I love you!")
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# # Prepare analysis model, tokenizer and pipeline
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# def get_pipeline(selected_model):
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# model = AutoModelForSequenceClassification.from_pretrained(selected_model)
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# tokenizer = AutoTokenizer.from_pretrained(selected_model)
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# pl = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
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# return pl
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# # Load the model and perform sentiment analysis
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# if st.button("Submit"):
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# with st.spinner("Analyzing sentiment..."):
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# pl = get_pipeline(selected_model)
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# result = pl(text)
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# label = result[0]['label']
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# if(selected_model == "cardiffnlp/twitter-roberta-base-sentiment"):
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# if label == "LABEL_0": st.write("Sentiment: Negative")
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# elif label == "LABEL_1": st.write("Sentiment: Neutral")
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# elif label == "LABEL_2": st.write("Sentiment: Positive")
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# elif(selected_model == "textattack/bert-base-uncased-SST-2"):
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# if label == "LABEL_0": st.write("Sentiment: Negative")
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# elif label == "LABEL_1": st.write("Sentiment: Positive")
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# else:
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# st.write(f"Sentiment: {label}")
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# st.write(f"Confidence Score: {result[0]['score']:.2f}")
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# else:
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# st.write("Click 'Submit' for sentiment analysis.")
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