Update app.py
Browse files
app.py
CHANGED
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import streamlit as st
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import transformers
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from transformers import pipeline
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import re
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# Page Configuration
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st.set_page_config(page_title="Telugu Sentiment Analysis", layout="centered")
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#
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def set_background(image_path):
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st.markdown(
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f"""
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<style>
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.stApp {{
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background-image: url("{
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background-size: cover;
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background-position: center;
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background-repeat: no-repeat;
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unsafe_allow_html=True
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)
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# Title and Description
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st.title("π Telugu Sentiment Analysis")
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with st.spinner("Analyzing sentiment..."):
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result = pipe(clean_text)[0]
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idx = int(result['label'].split('_')[1])
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if idx == 0:
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sentiment = "π Neutral"
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color = "gray"
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sentiment = "π Negative"
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color = "red"
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st.markdown(f"### Prediction: <span style='color:{color}'>{sentiment}</span>", unsafe_allow_html=True)
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import streamlit as st
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from transformers import pipeline
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import re
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import base64
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# Page Configuration
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st.set_page_config(page_title="Telugu Sentiment Analysis", layout="centered")
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# Function to Encode Image
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def get_base64(file_path):
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with open(file_path, "rb") as f:
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data = f.read()
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return base64.b64encode(data).decode()
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# Set Background from Image
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def set_background(image_path):
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img_data = get_base64(image_path)
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st.markdown(
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f"""
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<style>
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.stApp {{
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background-image: url("data:image/jpg;base64,{img_data}");
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background-size: cover;
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background-position: center;
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background-repeat: no-repeat;
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unsafe_allow_html=True
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)
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# Set the background
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set_background("New3.jpg")
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# Title and Description
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st.title("π Telugu Sentiment Analysis")
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with st.spinner("Analyzing sentiment..."):
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result = pipe(clean_text)[0]
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idx = int(result['label'].split('_')[1])
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if idx == 0:
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sentiment = "π Neutral"
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color = "gray"
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sentiment = "π Negative"
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color = "red"
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st.markdown(f"### Prediction: <span style='color:{color}'>{sentiment}</span>", unsafe_allow_html=True)
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