Update app.py
Browse files
app.py
CHANGED
|
@@ -92,16 +92,6 @@ def predict_category(text):
|
|
| 92 |
category_idx = np.argmax(prediction, axis=1)[0]
|
| 93 |
return label_encoder.inverse_transform([category_idx])[0]
|
| 94 |
|
| 95 |
-
# β
Category Color Mapping
|
| 96 |
-
category_colors = {
|
| 97 |
-
"Sports": "#27ae60", # Green
|
| 98 |
-
"Politics": "#2980b9", # Blue
|
| 99 |
-
"Entertainment": "#8e44ad", # Purple
|
| 100 |
-
"Technology": "#e67e22", # Orange
|
| 101 |
-
"Business": "#c0392b", # Red
|
| 102 |
-
"Default": "#ffffff" # White
|
| 103 |
-
}
|
| 104 |
-
|
| 105 |
# β
Streamlit UI Design
|
| 106 |
st.markdown("""
|
| 107 |
<style>
|
|
@@ -123,6 +113,7 @@ st.markdown("""
|
|
| 123 |
padding: 10px;
|
| 124 |
}
|
| 125 |
.result-box {
|
|
|
|
| 126 |
padding: 25px;
|
| 127 |
border-radius: 12px;
|
| 128 |
text-align: center;
|
|
@@ -131,12 +122,15 @@ st.markdown("""
|
|
| 131 |
font-weight: 900;
|
| 132 |
text-shadow: 3px 3px 10px rgba(0, 0, 0, 0.5);
|
| 133 |
}
|
|
|
|
|
|
|
|
|
|
| 134 |
</style>
|
| 135 |
""", unsafe_allow_html=True)
|
| 136 |
|
| 137 |
# β
Page Title
|
| 138 |
st.markdown("<div class='title'>π§ Intelligent News Classifier</div>", unsafe_allow_html=True)
|
| 139 |
-
st.markdown("<div class='subtitle'>Find out what type of news you're reading
|
| 140 |
|
| 141 |
# β
User Input
|
| 142 |
user_input = st.text_area("Enter text here:", height=150, placeholder="Type your news text here...")
|
|
@@ -145,11 +139,10 @@ user_input = st.text_area("Enter text here:", height=150, placeholder="Type your
|
|
| 145 |
if st.button("Analyze π§"):
|
| 146 |
if user_input.strip():
|
| 147 |
category = predict_category(user_input)
|
| 148 |
-
color = category_colors.get(category, category_colors["Default"])
|
| 149 |
st.markdown(
|
| 150 |
f"""
|
| 151 |
-
<div class='result-box'
|
| 152 |
-
|
| 153 |
</div>
|
| 154 |
""",
|
| 155 |
unsafe_allow_html=True
|
|
|
|
| 92 |
category_idx = np.argmax(prediction, axis=1)[0]
|
| 93 |
return label_encoder.inverse_transform([category_idx])[0]
|
| 94 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
# β
Streamlit UI Design
|
| 96 |
st.markdown("""
|
| 97 |
<style>
|
|
|
|
| 113 |
padding: 10px;
|
| 114 |
}
|
| 115 |
.result-box {
|
| 116 |
+
background-color: #000000; /* Black background */
|
| 117 |
padding: 25px;
|
| 118 |
border-radius: 12px;
|
| 119 |
text-align: center;
|
|
|
|
| 122 |
font-weight: 900;
|
| 123 |
text-shadow: 3px 3px 10px rgba(0, 0, 0, 0.5);
|
| 124 |
}
|
| 125 |
+
.result-text {
|
| 126 |
+
color: #27ae60; /* Green text */
|
| 127 |
+
}
|
| 128 |
</style>
|
| 129 |
""", unsafe_allow_html=True)
|
| 130 |
|
| 131 |
# β
Page Title
|
| 132 |
st.markdown("<div class='title'>π§ Intelligent News Classifier</div>", unsafe_allow_html=True)
|
| 133 |
+
st.markdown("<div class='subtitle'>Find out what type of news you're reading!</div>", unsafe_allow_html=True)
|
| 134 |
|
| 135 |
# β
User Input
|
| 136 |
user_input = st.text_area("Enter text here:", height=150, placeholder="Type your news text here...")
|
|
|
|
| 139 |
if st.button("Analyze π§"):
|
| 140 |
if user_input.strip():
|
| 141 |
category = predict_category(user_input)
|
|
|
|
| 142 |
st.markdown(
|
| 143 |
f"""
|
| 144 |
+
<div class='result-box'>
|
| 145 |
+
<span class='result-text'>ποΈ Predicted Category: <strong>{category}</strong></span>
|
| 146 |
</div>
|
| 147 |
""",
|
| 148 |
unsafe_allow_html=True
|