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Update app.py
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app.py
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|
| 1 |
+
import streamlit as st
|
| 2 |
+
import os
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| 3 |
+
import time
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| 4 |
+
import tempfile
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| 5 |
+
import subprocess
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| 6 |
+
import re
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| 7 |
+
import PyPDF2
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| 8 |
+
import docx
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| 9 |
+
from fpdf import FPDF
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| 10 |
+
from pathlib import Path
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| 11 |
+
import threading
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| 12 |
+
import queue
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| 13 |
+
import logging
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| 14 |
+
from datetime import datetime
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| 15 |
+
import io
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| 16 |
+
|
| 17 |
+
# Set up logging
|
| 18 |
+
logging.basicConfig(
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| 19 |
+
level=logging.INFO,
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| 20 |
+
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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| 21 |
+
handlers=[
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| 22 |
+
logging.FileHandler("streamlit_app.log"),
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| 23 |
+
logging.StreamHandler()
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| 24 |
+
]
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| 25 |
+
)
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| 26 |
+
logger = logging.getLogger(__name__)
|
| 27 |
+
|
| 28 |
+
# Set page configuration
|
| 29 |
+
st.set_page_config(
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| 30 |
+
page_title="B.Tech Assignment Solution Generator",
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| 31 |
+
page_icon="🎓",
|
| 32 |
+
layout="wide",
|
| 33 |
+
initial_sidebar_state="expanded",
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| 34 |
+
menu_items={
|
| 35 |
+
'About': "# B.Tech Assignment Solution Generator\nThis app processes B.Tech assignments and generates comprehensive solutions."
|
| 36 |
+
}
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| 37 |
+
)
|
| 38 |
+
|
| 39 |
+
# Apply dark theme
|
| 40 |
+
st.markdown("""
|
| 41 |
+
<style>
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| 42 |
+
.main {
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| 43 |
+
background-color: #0E1117;
|
| 44 |
+
color: white;
|
| 45 |
+
}
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| 46 |
+
.stButton>button {
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| 47 |
+
background-color: #4CAF50;
|
| 48 |
+
color: white;
|
| 49 |
+
border-radius: 8px;
|
| 50 |
+
padding: 10px 24px;
|
| 51 |
+
font-weight: bold;
|
| 52 |
+
border: none;
|
| 53 |
+
transition-duration: 0.4s;
|
| 54 |
+
}
|
| 55 |
+
.stButton>button:hover {
|
| 56 |
+
background-color: #45a049;
|
| 57 |
+
}
|
| 58 |
+
.stTextInput>div>div>input {
|
| 59 |
+
background-color: #1E2126;
|
| 60 |
+
color: white;
|
| 61 |
+
}
|
| 62 |
+
.stMarkdown {
|
| 63 |
+
color: white;
|
| 64 |
+
}
|
| 65 |
+
.css-1cpxqw2 {
|
| 66 |
+
background-color: #262730;
|
| 67 |
+
border-radius: 10px;
|
| 68 |
+
padding: 20px;
|
| 69 |
+
margin-bottom: 20px;
|
| 70 |
+
}
|
| 71 |
+
.css-1v3fvcr {
|
| 72 |
+
background-color: #0E1117;
|
| 73 |
+
}
|
| 74 |
+
.css-18e3th9 {
|
| 75 |
+
padding-top: 2rem;
|
| 76 |
+
}
|
| 77 |
+
.css-1kyxreq {
|
| 78 |
+
justify-content: center;
|
| 79 |
+
align-items: center;
|
| 80 |
+
}
|
| 81 |
+
.stProgress > div > div > div > div {
|
| 82 |
+
background-color: #4CAF50;
|
| 83 |
+
}
|
| 84 |
+
.log-container {
|
| 85 |
+
background-color: #1E2126;
|
| 86 |
+
color: #B0B0B0;
|
| 87 |
+
padding: 15px;
|
| 88 |
+
border-radius: 8px;
|
| 89 |
+
height: 300px;
|
| 90 |
+
overflow-y: auto;
|
| 91 |
+
font-family: monospace;
|
| 92 |
+
margin-bottom: 20px;
|
| 93 |
+
}
|
| 94 |
+
.success-message {
|
| 95 |
+
color: #4CAF50;
|
| 96 |
+
font-weight: bold;
|
| 97 |
+
}
|
| 98 |
+
.error-message {
|
| 99 |
+
color: #FF5252;
|
| 100 |
+
font-weight: bold;
|
| 101 |
+
}
|
| 102 |
+
.info-message {
|
| 103 |
+
color: #2196F3;
|
| 104 |
+
}
|
| 105 |
+
.warning-message {
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| 106 |
+
color: #FFC107;
|
| 107 |
+
}
|
| 108 |
+
.pdf-container {
|
| 109 |
+
background-color: #262730;
|
| 110 |
+
padding: 20px;
|
| 111 |
+
border-radius: 10px;
|
| 112 |
+
margin-top: 20px;
|
| 113 |
+
}
|
| 114 |
+
.download-button {
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| 115 |
+
background-color: #2196F3;
|
| 116 |
+
color: white;
|
| 117 |
+
padding: 10px 15px;
|
| 118 |
+
border-radius: 5px;
|
| 119 |
+
text-decoration: none;
|
| 120 |
+
display: inline-block;
|
| 121 |
+
margin-top: 10px;
|
| 122 |
+
}
|
| 123 |
+
</style>
|
| 124 |
+
""", unsafe_allow_html=True)
|
| 125 |
+
|
| 126 |
+
def extract_text_from_pdf(file):
|
| 127 |
+
"""Extract text from a PDF file."""
|
| 128 |
+
try:
|
| 129 |
+
pdf_reader = PyPDF2.PdfReader(file)
|
| 130 |
+
text = ""
|
| 131 |
+
for page in pdf_reader.pages:
|
| 132 |
+
text += page.extract_text() + "\n"
|
| 133 |
+
return text
|
| 134 |
+
except Exception as e:
|
| 135 |
+
logger.error(f"Error extracting text from PDF: {e}")
|
| 136 |
+
st.error(f"Error extracting text from PDF: {e}")
|
| 137 |
+
return None
|
| 138 |
+
|
| 139 |
+
def extract_text_from_docx(file):
|
| 140 |
+
"""Extract text from a DOCX file."""
|
| 141 |
+
try:
|
| 142 |
+
doc = docx.Document(file)
|
| 143 |
+
text = ""
|
| 144 |
+
for para in doc.paragraphs:
|
| 145 |
+
text += para.text + "\n"
|
| 146 |
+
return text
|
| 147 |
+
except Exception as e:
|
| 148 |
+
logger.error(f"Error extracting text from DOCX: {e}")
|
| 149 |
+
st.error(f"Error extracting text from DOCX: {e}")
|
| 150 |
+
return None
|
| 151 |
+
|
| 152 |
+
def create_pdf(content, filename="solution.pdf"):
|
| 153 |
+
"""Create a PDF file from the solution content."""
|
| 154 |
+
try:
|
| 155 |
+
pdf = FPDF()
|
| 156 |
+
pdf.add_page()
|
| 157 |
+
pdf.set_auto_page_break(auto=True, margin=15)
|
| 158 |
+
|
| 159 |
+
# Set font for title
|
| 160 |
+
pdf.set_font("Arial", "B", 16)
|
| 161 |
+
pdf.cell(0, 10, "B.Tech Assignment Solution", ln=True, align="C")
|
| 162 |
+
pdf.ln(5)
|
| 163 |
+
|
| 164 |
+
# Set font for content
|
| 165 |
+
pdf.set_font("Arial", "", 12)
|
| 166 |
+
|
| 167 |
+
# Process content by paragraphs
|
| 168 |
+
paragraphs = content.split('\n')
|
| 169 |
+
for para in paragraphs:
|
| 170 |
+
# Check if this is a heading (simple heuristic)
|
| 171 |
+
if para.strip() and len(para.strip()) < 100 and para.strip().isupper():
|
| 172 |
+
pdf.set_font("Arial", "B", 14)
|
| 173 |
+
pdf.cell(0, 10, para, ln=True)
|
| 174 |
+
pdf.set_font("Arial", "", 12)
|
| 175 |
+
else:
|
| 176 |
+
# Handle regular paragraph
|
| 177 |
+
pdf.multi_cell(0, 10, para)
|
| 178 |
+
pdf.ln(2)
|
| 179 |
+
|
| 180 |
+
# Save PDF to a bytes buffer
|
| 181 |
+
pdf_buffer = io.BytesIO()
|
| 182 |
+
pdf.output(pdf_buffer)
|
| 183 |
+
pdf_buffer.seek(0)
|
| 184 |
+
|
| 185 |
+
return pdf_buffer
|
| 186 |
+
except Exception as e:
|
| 187 |
+
logger.error(f"Error creating PDF: {e}")
|
| 188 |
+
st.error(f"Error creating PDF: {e}")
|
| 189 |
+
return None
|
| 190 |
+
|
| 191 |
+
def process_log_line(line):
|
| 192 |
+
"""Process a log line to determine its type and format it for display."""
|
| 193 |
+
line = line.strip()
|
| 194 |
+
if not line:
|
| 195 |
+
return None, None
|
| 196 |
+
|
| 197 |
+
# Determine message type
|
| 198 |
+
if "ERROR" in line or "error" in line.lower():
|
| 199 |
+
msg_type = "error"
|
| 200 |
+
elif "WARNING" in line or "warning" in line.lower():
|
| 201 |
+
msg_type = "warning"
|
| 202 |
+
elif "INFO" in line or "info" in line.lower():
|
| 203 |
+
msg_type = "info"
|
| 204 |
+
else:
|
| 205 |
+
msg_type = "info"
|
| 206 |
+
|
| 207 |
+
# Extract the important part of the message
|
| 208 |
+
# Remove timestamp and log level if present
|
| 209 |
+
match = re.search(r'\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3} - \w+ - \w+ - (.*)', line)
|
| 210 |
+
if match:
|
| 211 |
+
message = match.group(1)
|
| 212 |
+
else:
|
| 213 |
+
message = line
|
| 214 |
+
|
| 215 |
+
return msg_type, message
|
| 216 |
+
|
| 217 |
+
def monitor_log_file(log_file, message_queue, stop_event):
|
| 218 |
+
"""Monitor the log file for new content and put it in the queue."""
|
| 219 |
+
try:
|
| 220 |
+
with open(log_file, 'r') as f:
|
| 221 |
+
# Move to the end of the file
|
| 222 |
+
f.seek(0, 2)
|
| 223 |
+
|
| 224 |
+
while not stop_event.is_set():
|
| 225 |
+
line = f.readline()
|
| 226 |
+
if line:
|
| 227 |
+
msg_type, message = process_log_line(line)
|
| 228 |
+
if msg_type and message:
|
| 229 |
+
message_queue.put((msg_type, message))
|
| 230 |
+
else:
|
| 231 |
+
# No new line, wait a bit
|
| 232 |
+
time.sleep(0.1)
|
| 233 |
+
except Exception as e:
|
| 234 |
+
logger.error(f"Error monitoring log file: {e}")
|
| 235 |
+
message_queue.put(("error", f"Error monitoring log file: {e}"))
|
| 236 |
+
|
| 237 |
+
def run_assignment_processor(input_file_path, message_queue):
|
| 238 |
+
"""Run the assignment processor and capture its output."""
|
| 239 |
+
try:
|
| 240 |
+
# Get the directory of the current script
|
| 241 |
+
script_dir = os.path.dirname(os.path.abspath(__file__))
|
| 242 |
+
|
| 243 |
+
# Construct the path to streamlit_main.py
|
| 244 |
+
main_script = os.path.join(script_dir, "streamlit_main.py")
|
| 245 |
+
|
| 246 |
+
# Activate virtual environment if available
|
| 247 |
+
venv_python = os.path.join(script_dir, "venv", "bin", "python")
|
| 248 |
+
if os.path.exists(venv_python):
|
| 249 |
+
python_cmd = venv_python
|
| 250 |
+
else:
|
| 251 |
+
python_cmd = "python3"
|
| 252 |
+
|
| 253 |
+
# Run the assignment processor
|
| 254 |
+
cmd = [python_cmd, main_script, input_file_path]
|
| 255 |
+
|
| 256 |
+
# Add log message
|
| 257 |
+
message_queue.put(("info", "Starting assignment processing..."))
|
| 258 |
+
|
| 259 |
+
# Execute the command
|
| 260 |
+
process = subprocess.Popen(
|
| 261 |
+
cmd,
|
| 262 |
+
stdout=subprocess.PIPE,
|
| 263 |
+
stderr=subprocess.PIPE,
|
| 264 |
+
text=True
|
| 265 |
+
)
|
| 266 |
+
|
| 267 |
+
# Capture and process output
|
| 268 |
+
for line in process.stdout:
|
| 269 |
+
msg_type, message = process_log_line(line)
|
| 270 |
+
if msg_type and message:
|
| 271 |
+
message_queue.put((msg_type, message))
|
| 272 |
+
|
| 273 |
+
# Wait for process to complete
|
| 274 |
+
return_code = process.wait()
|
| 275 |
+
|
| 276 |
+
if return_code != 0:
|
| 277 |
+
# Capture error output if process failed
|
| 278 |
+
error_output = process.stderr.read()
|
| 279 |
+
message_queue.put(("error", f"Process failed with return code {return_code}: {error_output}"))
|
| 280 |
+
return False
|
| 281 |
+
|
| 282 |
+
# Add completion message
|
| 283 |
+
message_queue.put(("success", "COMPLETED B.TECH ASSIGNMENT SOLUTION PIPELINE"))
|
| 284 |
+
return True
|
| 285 |
+
except Exception as e:
|
| 286 |
+
logger.error(f"Error running assignment processor: {e}")
|
| 287 |
+
message_queue.put(("error", f"Error running assignment processor: {e}"))
|
| 288 |
+
return False
|
| 289 |
+
|
| 290 |
+
def main():
|
| 291 |
+
# Header
|
| 292 |
+
st.title("B.Tech Assignment Solution Generator")
|
| 293 |
+
st.markdown("Upload your assignment file (PDF or DOCX) and get comprehensive solutions.")
|
| 294 |
+
|
| 295 |
+
# File uploader
|
| 296 |
+
uploaded_file = st.file_uploader("Choose an assignment file", type=["pdf", "docx"])
|
| 297 |
+
|
| 298 |
+
if uploaded_file is not None:
|
| 299 |
+
st.success(f"File uploaded: {uploaded_file.name}")
|
| 300 |
+
|
| 301 |
+
# Extract text from the uploaded file
|
| 302 |
+
if uploaded_file.name.endswith('.pdf'):
|
| 303 |
+
text = extract_text_from_pdf(uploaded_file)
|
| 304 |
+
elif uploaded_file.name.endswith('.docx'):
|
| 305 |
+
text = extract_text_from_docx(uploaded_file)
|
| 306 |
+
else:
|
| 307 |
+
st.error("Unsupported file format. Please upload a PDF or DOCX file.")
|
| 308 |
+
return
|
| 309 |
+
|
| 310 |
+
if text is None:
|
| 311 |
+
st.error("Failed to extract text from the file.")
|
| 312 |
+
return
|
| 313 |
+
|
| 314 |
+
# Preview the extracted text
|
| 315 |
+
with st.expander("Preview Extracted Text", expanded=False):
|
| 316 |
+
st.text_area("Extracted Text", text, height=200)
|
| 317 |
+
|
| 318 |
+
# Process button
|
| 319 |
+
if st.button("Generate Solution"):
|
| 320 |
+
# Create a temporary file to save the extracted text
|
| 321 |
+
with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as temp_file:
|
| 322 |
+
temp_file.write(text)
|
| 323 |
+
temp_file_path = temp_file.name
|
| 324 |
+
|
| 325 |
+
try:
|
| 326 |
+
# Set up progress tracking
|
| 327 |
+
progress_bar = st.progress(0)
|
| 328 |
+
status_text = st.empty()
|
| 329 |
+
|
| 330 |
+
# Create a container for log messages
|
| 331 |
+
st.subheader("Processing Status")
|
| 332 |
+
log_container = st.empty()
|
| 333 |
+
log_messages = []
|
| 334 |
+
|
| 335 |
+
# Create a queue for messages
|
| 336 |
+
message_queue = queue.Queue()
|
| 337 |
+
|
| 338 |
+
# Create an event to signal thread to stop
|
| 339 |
+
stop_event = threading.Event()
|
| 340 |
+
|
| 341 |
+
# Start a thread to monitor the log file
|
| 342 |
+
log_file = "btech_solution_system.log"
|
| 343 |
+
log_thread = threading.Thread(
|
| 344 |
+
target=monitor_log_file,
|
| 345 |
+
args=(log_file, message_queue, stop_event)
|
| 346 |
+
)
|
| 347 |
+
log_thread.daemon = True
|
| 348 |
+
log_thread.start()
|
| 349 |
+
|
| 350 |
+
# Start processing in a separate thread
|
| 351 |
+
processing_thread = threading.Thread(
|
| 352 |
+
target=run_assignment_processor,
|
| 353 |
+
args=(temp_file_path, message_queue)
|
| 354 |
+
)
|
| 355 |
+
processing_thread.daemon = True
|
| 356 |
+
processing_thread.start()
|
| 357 |
+
|
| 358 |
+
# Update progress and display log messages
|
| 359 |
+
start_time = time.time()
|
| 360 |
+
solution_content = None
|
| 361 |
+
|
| 362 |
+
# Define key stages and their progress values
|
| 363 |
+
stages = {
|
| 364 |
+
"ANALYZING QUESTIONS": 10,
|
| 365 |
+
"RESEARCHING INFORMATION": 30,
|
| 366 |
+
"DEVELOPING INITIAL SOLUTIONS": 50,
|
| 367 |
+
"VERIFYING SOLUTIONS": 70,
|
| 368 |
+
"REVISING SOLUTIONS": 85,
|
| 369 |
+
"FORMATTING FINAL REPORT": 95,
|
| 370 |
+
"COMPLETED": 100
|
| 371 |
+
}
|
| 372 |
+
|
| 373 |
+
current_progress = 0
|
| 374 |
+
|
| 375 |
+
# Update status until processing is complete
|
| 376 |
+
while processing_thread.is_alive() or not message_queue.empty():
|
| 377 |
+
# Check for new messages
|
| 378 |
+
try:
|
| 379 |
+
while not message_queue.empty():
|
| 380 |
+
msg_type, message = message_queue.get(block=False)
|
| 381 |
+
|
| 382 |
+
# Update progress based on message content
|
| 383 |
+
for stage, progress_value in stages.items():
|
| 384 |
+
if stage in message:
|
| 385 |
+
current_progress = progress_value
|
| 386 |
+
break
|
| 387 |
+
|
| 388 |
+
# Format message based on type
|
| 389 |
+
formatted_msg = f"<div class='{msg_type}-message'>{message}</div>"
|
| 390 |
+
log_messages.append(formatted_msg)
|
| 391 |
+
|
| 392 |
+
# Keep only the last 20 messages to avoid cluttering
|
| 393 |
+
if len(log_messages) > 20:
|
| 394 |
+
log_messages = log_messages[-20:]
|
| 395 |
+
|
| 396 |
+
# Update log display
|
| 397 |
+
log_container.markdown(
|
| 398 |
+
f"<div class='log-container'>{''.join(log_messages)}</div>",
|
| 399 |
+
unsafe_allow_html=True
|
| 400 |
+
)
|
| 401 |
+
|
| 402 |
+
# Check if solution is ready
|
| 403 |
+
if "COMPLETED B.TECH ASSIGNMENT SOLUTION PIPELINE" in message:
|
| 404 |
+
# Try to read the solution file
|
| 405 |
+
try:
|
| 406 |
+
solution_file = "solution.txt"
|
| 407 |
+
if os.path.exists(solution_file):
|
| 408 |
+
with open(solution_file, 'r') as f:
|
| 409 |
+
solution_content = f.read()
|
| 410 |
+
except Exception as e:
|
| 411 |
+
logger.error(f"Error reading solution file: {e}")
|
| 412 |
+
log_messages.append(f"<div class='error-message'>Error reading solution file: {e}</div>")
|
| 413 |
+
except queue.Empty:
|
| 414 |
+
pass
|
| 415 |
+
|
| 416 |
+
# Update progress bar
|
| 417 |
+
progress_bar.progress(current_progress)
|
| 418 |
+
status_text.text(f"Processing... ({current_progress}%)")
|
| 419 |
+
|
| 420 |
+
# Check if processing is complete
|
| 421 |
+
if current_progress >= 100:
|
| 422 |
+
break
|
| 423 |
+
|
| 424 |
+
# Check timeout (30 minutes)
|
| 425 |
+
if time.time() - start_time > 1800:
|
| 426 |
+
status_text.error("Processing timed out after 30 minutes.")
|
| 427 |
+
break
|
| 428 |
+
|
| 429 |
+
time.sleep(0.5)
|
| 430 |
+
|
| 431 |
+
# Stop the log monitoring thread
|
| 432 |
+
stop_event.set()
|
| 433 |
+
|
| 434 |
+
# Check if solution was found
|
| 435 |
+
if solution_content:
|
| 436 |
+
# Update progress to 100%
|
| 437 |
+
progress_bar.progress(100)
|
| 438 |
+
status_text.success("Solution generated successfully!")
|
| 439 |
+
|
| 440 |
+
# Display the solution
|
| 441 |
+
st.subheader("Generated Solution")
|
| 442 |
+
st.markdown(solution_content)
|
| 443 |
+
|
| 444 |
+
# Create PDF
|
| 445 |
+
pdf_buffer = create_pdf(solution_content)
|
| 446 |
+
|
| 447 |
+
if pdf_buffer:
|
| 448 |
+
# Provide download button for PDF
|
| 449 |
+
st.download_button(
|
| 450 |
+
label="Download Solution as PDF",
|
| 451 |
+
data=pdf_buffer,
|
| 452 |
+
file_name="btech_assignment_solution.pdf",
|
| 453 |
+
mime="application/pdf",
|
| 454 |
+
key="solution-pdf",
|
| 455 |
+
help="Click to download the solution as a PDF file"
|
| 456 |
+
)
|
| 457 |
+
else:
|
| 458 |
+
status_text.error("Failed to generate solution.")
|
| 459 |
+
|
| 460 |
+
finally:
|
| 461 |
+
# Clean up temporary file
|
| 462 |
+
if os.path.exists(temp_file_path):
|
| 463 |
+
os.unlink(temp_file_path)
|
| 464 |
+
|
| 465 |
+
if __name__ == "__main__":
|
| 466 |
+
main()
|