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Update app.py
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app.py
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# import streamlit as st
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# from transformers import pipeline
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# st.set_page_config(page_title="AI Project", page_icon=":tada:", layout="wide")
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# with st.container():
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# st.title("Hello! Welcome to the Sentiment Analysis App :wave:")
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# st.header("By: Cory Khalilollahi")
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# with st.container():
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# st.write("---")
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# text = st.text_input("Please enter any text to use for the sentiment analysis:",
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# value="Hello! It is a pleasure to meet you!")
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# model = st.selectbox(
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# "Please select one of the following pre-trained models:",
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# ["finiteautomata/bertweet-base-sentiment-analysis",
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# 'bhadresh-savani/distilbert-base-uncased-emotion',
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# "nlptown/bert-base-multilingual-uncased-sentiment"]
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# )
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# analysis = pipeline("sentiment-analysis", model=model)
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# with st.container():
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# st.write("---")
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# if st.button("Analyze!"):
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# result = analysis(text)
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# sentiment = result[0]["label"]
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# score = result[0]["score"]
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# sentiment = "Sentiment: " + sentiment
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# score = "Score: " + str(score * 100)[:7] + "%"
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# st.title(sentiment)
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# st.title(score)
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import streamlit as st
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from transformers import pipeline
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import pandas as pd
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import streamlit as st
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from transformers import pipeline
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import pandas as pd
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