Update app.py
Browse files
app.py
CHANGED
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@@ -8,21 +8,9 @@ classifier = pipeline("text-classification", model=model_name)
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# Configure the Streamlit page
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st.set_page_config(page_title="Amharic Hate Speech Detector", page_icon="🕵️♂️", layout="centered")
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# Add CSS to manage the background color change
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def set_background(color):
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st.markdown(
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f"""
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<style>
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body {{
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background-color: {color};
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}}
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</style>
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""",
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unsafe_allow_html=True
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)
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# Set default background color
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default_bg_color = "#f0f2f6"
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# Add a stylish header with a logo
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st.markdown(
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@@ -50,25 +38,26 @@ if st.button("Analyze Text 🚀"):
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if label == "LABEL_0":
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prediction = "Normal Text 🟢"
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color = "#28a745"
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set_background(default_bg_color) # Reset background for normal text
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else:
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prediction = "Hate Speech Detected 🔴"
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color = "#dc3545"
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#
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st.warning("⚠️ Warning: Hate Speech Detected! ⚠️")
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# Display the result with styled message
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st.markdown(f"<h2 style='text-align: center; color: {color};'>{prediction}</h2>", unsafe_allow_html=True)
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else:
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st.warning("Please enter some text to analyze.")
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# Configure the Streamlit page
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st.set_page_config(page_title="Amharic Hate Speech Detector", page_icon="🕵️♂️", layout="centered")
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# Set default background color
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default_bg_color = "#f0f2f6"
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bg_color = default_bg_color
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# Add a stylish header with a logo
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st.markdown(
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if label == "LABEL_0":
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prediction = "Normal Text 🟢"
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color = "#28a745"
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else:
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prediction = "Hate Speech Detected 🔴"
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color = "#dc3545"
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bg_color = "#FFBABA" # Update background to a red color for hate speech
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# Display warning
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st.warning("⚠️ Warning: Hate Speech Detected! ⚠️")
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# Apply the background color dynamically
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st.markdown(
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f"""
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<style>
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body {{ background-color: {bg_color}; }}
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.stAlert {{ text-align: center; }}
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</style>
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""",
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unsafe_allow_html=True
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)
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# Display the result with styled message
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st.markdown(f"<h2 style='text-align: center; color: {color};'>{prediction}</h2>", unsafe_allow_html=True)
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else:
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st.warning("Please enter some text to analyze.")
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