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Create app.py
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app.py
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| 1 |
+
import streamlit as st
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| 2 |
+
import pandas as pd
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| 3 |
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import re
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| 4 |
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from datetime import datetime
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| 5 |
+
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| 6 |
+
# Page configuration
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| 7 |
+
st.set_page_config(
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| 8 |
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page_title="Scholarship Search",
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| 9 |
+
page_icon="🎓",
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| 10 |
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layout="wide"
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| 11 |
+
)
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| 12 |
+
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| 13 |
+
# Load and prepare data
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| 14 |
+
@st.cache_data
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| 15 |
+
def load_scholarships():
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| 16 |
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try:
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| 17 |
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df = pd.read_csv("scholarships_data.csv", quotechar='"', quoting=1)
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| 18 |
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df = df.map(lambda x: x.strip() if isinstance(x, str) else x)
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| 19 |
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df.rename(columns=lambda x: x.strip(), inplace=True)
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| 20 |
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return df
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| 21 |
+
except Exception as e:
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| 22 |
+
st.error(f"Error loading data: {str(e)}")
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| 23 |
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st.stop()
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| 24 |
+
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| 25 |
+
# Custom CSS for styling
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| 26 |
+
def load_css():
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| 27 |
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st.markdown("""
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| 28 |
+
<style>
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| 29 |
+
/* Base styles */
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| 30 |
+
body {
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| 31 |
+
font-family: 'Roboto', sans-serif;
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| 32 |
+
color: #333;
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| 33 |
+
background-color: #f9f9f9;
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| 34 |
+
}
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| 35 |
+
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| 36 |
+
/* Header styles */
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| 37 |
+
.hero-section {
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| 38 |
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background: linear-gradient(135deg, #3a7bd5, #00d2ff);
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| 39 |
+
color: white;
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| 40 |
+
padding: 1.5rem;
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| 41 |
+
border-radius: 0.8rem;
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| 42 |
+
text-align: center;
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| 43 |
+
margin-bottom: 1.5rem;
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| 44 |
+
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1);
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| 45 |
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}
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| 46 |
+
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| 47 |
+
.hero-title {
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| 48 |
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font-size: 2.5rem;
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| 49 |
+
font-weight: 700;
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| 50 |
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margin-bottom: 0.5rem;
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| 51 |
+
text-shadow: 1px 1px 3px rgba(0, 0, 0, 0.2);
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| 52 |
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}
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| 53 |
+
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| 54 |
+
/* Search box */
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| 55 |
+
.search-container {
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| 56 |
+
background-color: white;
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| 57 |
+
border-radius: 0.8rem;
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| 58 |
+
padding: 1.5rem;
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| 59 |
+
box-shadow: 0 4px 10px rgba(0, 0, 0, 0.05);
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| 60 |
+
margin-bottom: 1.5rem;
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| 61 |
+
text-align: center;
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| 62 |
+
}
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| 63 |
+
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| 64 |
+
/* Results styles */
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| 65 |
+
.results-container {
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| 66 |
+
background-color: white;
|
| 67 |
+
border-radius: 0.8rem;
|
| 68 |
+
padding: 1.5rem;
|
| 69 |
+
box-shadow: 0 4px 10px rgba(0, 0, 0, 0.05);
|
| 70 |
+
}
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| 71 |
+
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| 72 |
+
.results-header {
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| 73 |
+
color: #3a7bd5;
|
| 74 |
+
font-size: 1.5rem;
|
| 75 |
+
margin-bottom: 1rem;
|
| 76 |
+
font-weight: 600;
|
| 77 |
+
}
|
| 78 |
+
|
| 79 |
+
/* Scholarship item styles */
|
| 80 |
+
.scholarship-item {
|
| 81 |
+
padding: 1.2rem;
|
| 82 |
+
margin-bottom: 1rem;
|
| 83 |
+
border-radius: 0.6rem;
|
| 84 |
+
background-color: #f8faff;
|
| 85 |
+
border-left: 4px solid #3a7bd5;
|
| 86 |
+
transition: transform 0.2s ease;
|
| 87 |
+
}
|
| 88 |
+
|
| 89 |
+
.scholarship-item:hover {
|
| 90 |
+
transform: translateY(-2px);
|
| 91 |
+
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.05);
|
| 92 |
+
}
|
| 93 |
+
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| 94 |
+
.scholarship-name {
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| 95 |
+
font-size: 1.3rem;
|
| 96 |
+
font-weight: 600;
|
| 97 |
+
color: #2c3e50;
|
| 98 |
+
margin-bottom: 0.5rem;
|
| 99 |
+
}
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| 100 |
+
|
| 101 |
+
.scholarship-details {
|
| 102 |
+
font-size: 0.95rem;
|
| 103 |
+
color: #34495e;
|
| 104 |
+
margin-bottom: 0.8rem;
|
| 105 |
+
}
|
| 106 |
+
|
| 107 |
+
.deadline-tag {
|
| 108 |
+
background-color: #ff7675;
|
| 109 |
+
color: white;
|
| 110 |
+
padding: 0.2rem 0.6rem;
|
| 111 |
+
border-radius: 0.3rem;
|
| 112 |
+
font-size: 0.8rem;
|
| 113 |
+
font-weight: 600;
|
| 114 |
+
display: inline-block;
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| 115 |
+
margin-bottom: 0.5rem;
|
| 116 |
+
}
|
| 117 |
+
|
| 118 |
+
.apply-button {
|
| 119 |
+
background-color: #3a7bd5;
|
| 120 |
+
color: white;
|
| 121 |
+
padding: 0.4rem 0.8rem;
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| 122 |
+
border-radius: 0.3rem;
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| 123 |
+
font-size: 0.9rem;
|
| 124 |
+
font-weight: 500;
|
| 125 |
+
text-decoration: none;
|
| 126 |
+
transition: all 0.2s ease;
|
| 127 |
+
display: inline-block;
|
| 128 |
+
}
|
| 129 |
+
|
| 130 |
+
.apply-button:hover {
|
| 131 |
+
background-color: #2c65b1;
|
| 132 |
+
transform: translateY(-1px);
|
| 133 |
+
}
|
| 134 |
+
|
| 135 |
+
/* Highlight search term */
|
| 136 |
+
.highlight {
|
| 137 |
+
background-color: #fff9c4;
|
| 138 |
+
padding: 0 2px;
|
| 139 |
+
border-radius: 2px;
|
| 140 |
+
}
|
| 141 |
+
|
| 142 |
+
/* No results message */
|
| 143 |
+
.no-results {
|
| 144 |
+
text-align: center;
|
| 145 |
+
padding: 2rem;
|
| 146 |
+
color: #7f8c8d;
|
| 147 |
+
}
|
| 148 |
+
|
| 149 |
+
/* Make search input larger and centered */
|
| 150 |
+
.search-input-container {
|
| 151 |
+
max-width: 800px;
|
| 152 |
+
margin: 0 auto;
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
.stTextInput>div>div>input {
|
| 156 |
+
font-size: 1.1rem;
|
| 157 |
+
padding: 0.8rem 1rem;
|
| 158 |
+
border-radius: 2rem;
|
| 159 |
+
border: 1px solid #ddd;
|
| 160 |
+
box-shadow: 0 2px 5px rgba(0,0,0,0.05);
|
| 161 |
+
}
|
| 162 |
+
|
| 163 |
+
/* Footer */
|
| 164 |
+
.footer {
|
| 165 |
+
text-align: center;
|
| 166 |
+
padding: 1.5rem 0;
|
| 167 |
+
color: #7f8c8d;
|
| 168 |
+
font-size: 0.85rem;
|
| 169 |
+
margin-top: 2rem;
|
| 170 |
+
}
|
| 171 |
+
</style>
|
| 172 |
+
""", unsafe_allow_html=True)
|
| 173 |
+
|
| 174 |
+
# Format the deadline status
|
| 175 |
+
def format_deadline(deadline_str):
|
| 176 |
+
try:
|
| 177 |
+
if not deadline_str or pd.isna(deadline_str):
|
| 178 |
+
return "No deadline specified", "gray"
|
| 179 |
+
|
| 180 |
+
# Handle different date formats
|
| 181 |
+
try:
|
| 182 |
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deadline = datetime.strptime(deadline_str, "%d-%m-%Y")
|
| 183 |
+
except ValueError:
|
| 184 |
+
try:
|
| 185 |
+
deadline = datetime.strptime(deadline_str, "%Y-%m-%d")
|
| 186 |
+
except ValueError:
|
| 187 |
+
return deadline_str, "gray"
|
| 188 |
+
|
| 189 |
+
today = datetime.now()
|
| 190 |
+
days_left = (deadline - today).days
|
| 191 |
+
|
| 192 |
+
if days_left < 0:
|
| 193 |
+
return "Expired", "#e74c3c"
|
| 194 |
+
elif days_left <= 7:
|
| 195 |
+
return f"{days_left} days left!", "#ff7675"
|
| 196 |
+
elif days_left <= 30:
|
| 197 |
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return f"{days_left} days left", "#00b894"
|
| 198 |
+
else:
|
| 199 |
+
return f"{days_left} days left", "#3498db"
|
| 200 |
+
except:
|
| 201 |
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return deadline_str, "gray"
|
| 202 |
+
|
| 203 |
+
# Highlight search terms in text
|
| 204 |
+
def highlight_text(text, search_term):
|
| 205 |
+
if not search_term or not text:
|
| 206 |
+
return text
|
| 207 |
+
|
| 208 |
+
pattern = re.compile(re.escape(search_term), re.IGNORECASE)
|
| 209 |
+
return pattern.sub(f'<span class="highlight">{search_term}</span>', text)
|
| 210 |
+
|
| 211 |
+
# Display scholarship results
|
| 212 |
+
def display_scholarships(df, search_term=""):
|
| 213 |
+
if df.empty:
|
| 214 |
+
st.markdown('<div class="no-results">No scholarships found. Try a different search term.</div>', unsafe_allow_html=True)
|
| 215 |
+
return
|
| 216 |
+
|
| 217 |
+
st.markdown(f"<div class='results-header'>Found {len(df)} scholarships</div>", unsafe_allow_html=True)
|
| 218 |
+
|
| 219 |
+
for _, row in df.iterrows():
|
| 220 |
+
name = row['Scholarship Name']
|
| 221 |
+
eligibility = row['Eligibility']
|
| 222 |
+
deadline = row['Deadline'] if 'Deadline' in row else ""
|
| 223 |
+
link = row['Link']
|
| 224 |
+
|
| 225 |
+
# Format deadline text and color
|
| 226 |
+
deadline_text, deadline_color = format_deadline(deadline)
|
| 227 |
+
|
| 228 |
+
# Highlight search terms if provided
|
| 229 |
+
if search_term:
|
| 230 |
+
name = highlight_text(name, search_term)
|
| 231 |
+
eligibility = highlight_text(eligibility, search_term)
|
| 232 |
+
|
| 233 |
+
# Display scholarship card
|
| 234 |
+
st.markdown(f"""
|
| 235 |
+
<div class="scholarship-item">
|
| 236 |
+
<div class="scholarship-name">{name}</div>
|
| 237 |
+
<div class="deadline-tag" style="background-color: {deadline_color}">⏰ {deadline_text}</div>
|
| 238 |
+
<div class="scholarship-details"><strong>Eligibility:</strong> {eligibility}</div>
|
| 239 |
+
<a href="{link}" target="_blank" class="apply-button">Apply Now</a>
|
| 240 |
+
</div>
|
| 241 |
+
""", unsafe_allow_html=True)
|
| 242 |
+
|
| 243 |
+
# App header
|
| 244 |
+
def display_header():
|
| 245 |
+
st.markdown("""
|
| 246 |
+
<div class="hero-section">
|
| 247 |
+
<h1 class="hero-title">🎓 Scholarship Search</h1>
|
| 248 |
+
</div>
|
| 249 |
+
""", unsafe_allow_html=True)
|
| 250 |
+
|
| 251 |
+
# Main function
|
| 252 |
+
def main():
|
| 253 |
+
# Load custom CSS
|
| 254 |
+
load_css()
|
| 255 |
+
|
| 256 |
+
# Load scholarship data
|
| 257 |
+
df = load_scholarships()
|
| 258 |
+
|
| 259 |
+
# Display header
|
| 260 |
+
display_header()
|
| 261 |
+
|
| 262 |
+
# Main search container
|
| 263 |
+
st.markdown('<div class="search-container">', unsafe_allow_html=True)
|
| 264 |
+
st.markdown('<div class="search-input-container">', unsafe_allow_html=True)
|
| 265 |
+
search_term = st.text_input("", placeholder="🔍 Search scholarships by name, eligibility, or keywords")
|
| 266 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 267 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 268 |
+
|
| 269 |
+
# Results container
|
| 270 |
+
st.markdown('<div class="results-container">', unsafe_allow_html=True)
|
| 271 |
+
|
| 272 |
+
# Process search
|
| 273 |
+
if search_term:
|
| 274 |
+
# Create search pattern
|
| 275 |
+
results_df = df[
|
| 276 |
+
df['Scholarship Name'].str.contains(search_term, case=False, na=False) |
|
| 277 |
+
df['Eligibility'].str.contains(search_term, case=False, na=False)
|
| 278 |
+
]
|
| 279 |
+
|
| 280 |
+
# Display results
|
| 281 |
+
display_scholarships(results_df, search_term)
|
| 282 |
+
else:
|
| 283 |
+
# Display all scholarships when no search term is provided
|
| 284 |
+
display_scholarships(df.head(10))
|
| 285 |
+
if len(df) > 10:
|
| 286 |
+
st.markdown('<div style="text-align: center; margin-top: 20px;">Use the search bar above to find more specific scholarships</div>', unsafe_allow_html=True)
|
| 287 |
+
|
| 288 |
+
st.markdown('</div>', unsafe_allow_html=True)
|
| 289 |
+
|
| 290 |
+
# Footer
|
| 291 |
+
st.markdown("""
|
| 292 |
+
<div class="footer">
|
| 293 |
+
© 2025 Scholarship Search Portal | Data updated: March 2025
|
| 294 |
+
</div>
|
| 295 |
+
""", unsafe_allow_html=True)
|
| 296 |
+
|
| 297 |
+
if __name__ == "__main__":
|
| 298 |
+
main()
|