File size: 17,555 Bytes
69bf965 bf1b8a5 462065b bf1b8a5 b1760d3 462065b b1760d3 462065b b5ab9c7 bcb76a7 462065b 9467d9b 462065b 9467d9b 462065b 9467d9b 462065b 9467d9b 462065b 9467d9b 462065b 9467d9b 462065b bcb76a7 b5ab9c7 69bf965 462065b 69bf965 b1760d3 462065b 69bf965 462065b 69bf965 462065b 69bf965 9467d9b 462065b 9467d9b ee0fcb3 462065b 1a2a7cc 368aadc 462065b 368aadc 462065b cb2ef4d 81dd094 462065b 81dd094 462065b 368aadc c01cb10 462065b 1a2a7cc 462065b 1a2a7cc 174bdd3 462065b 174bdd3 0fb590d 174bdd3 462065b 81dd094 174bdd3 462065b 174bdd3 462065b 174bdd3 462065b 174bdd3 462065b 174bdd3 81dd094 462065b bf1b8a5 462065b bf1b8a5 9467d9b bf1b8a5 9467d9b bf1b8a5 9467d9b bf1b8a5 1a2a7cc 6fa1483 6e45461 4e9cecb 6e45461 c1e4b28 5eda752 6e45461 4e9cecb b6b92b6 4e9cecb a744d7e 4e9cecb a744d7e c00bacb 4e9cecb c00bacb 4e9cecb 6e45461 bb800d4 4e9cecb 53e7e31 6e45461 53e7e31 4e9cecb 53e7e31 4e9cecb 53e7e31 6e45461 53e7e31 6a6cbe8 69bf965 462065b bf1b8a5 462065b bf1b8a5 9467d9b 462065b bf1b8a5 0a00490 bf1b8a5 9467d9b 462065b bf1b8a5 58c536d 2c2e24e 6e45461 c602184 462065b ff62fc2 0a00490 462065b ff62fc2 462065b ff62fc2 9467d9b 0a00490 58c536d 9467d9b 53e7e31 5eda752 9beef51 62a9d82 9beef51 4e9cecb 2c2e24e 462065b 5eda752 462065b 5eda752 462065b 5eda752 462065b 5eda752 462065b 0fb590d 462065b 826d1eb 69bf965 9467d9b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 |
import streamlit as st
import json
import os
from datetime import datetime, timedelta
import subprocess
from huggingface_hub import HfApi
from pathlib import Path
from calendar_rag import (
create_default_config,
AcademicCalendarRAG,
PipelineConfig
)
# Custom CSS for enhanced styling
def load_custom_css():
st.markdown("""
<style>
/* General body styling */
body {
font-family: "Arial", sans-serif !important;
color: #000000 !important;
background-color: white !important;
line-height: 1.7 !important;
}
/* Main container styling */
.main {
padding: 2rem;
color: #000000;
background-color: white;
}
/* Headers styling */
h1 {
color: #000000;
font-size: 2.8rem !important;
font-weight: 700 !important;
margin-bottom: 1.5rem !important;
text-align: center;
padding: 1rem 0;
border-bottom: 3px solid #1E3A8A;
}
h3, h4 {
color: #000000;
font-weight: 600 !important;
font-size: 1.6rem !important;
margin-top: 1.5rem !important;
}
/* Chat message styling */
.chat-message {
padding: 1.5rem;
border-radius: 10px;
margin: 1rem 0;
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
font-size: 1.1rem !important;
line-height: 1.6 !important;
font-family: "Arial", sans-serif !important;
color: #000000 !important;
}
.user-message {
background-color: #F3F4F6 !important;
}
.assistant-message {
background-color: #EFF6FF !important;
}
/* Status indicators */
.status-indicator {
padding: 0.5rem 1rem;
border-radius: 6px;
font-weight: 500;
font-size: 1.2rem;
color: #000000;
}
.status-online {
background-color: #DEF7EC;
color: #03543F;
}
.status-offline {
background-color: #FDE8E8;
color: rgb(255, 255, 255);
}
</style>
""", unsafe_allow_html=True)
def initialize_pipeline():
"""Initialize RAG pipeline with configurations"""
try:
openai_api_key = os.getenv('OPENAI_API_KEY') or st.secrets['OPENAI_API_KEY']
config = create_default_config(openai_api_key)
config.localization.enable_thai_normalization = True
config.retriever.top_k = 5
config.model.temperature = 0.3
pipeline = AcademicCalendarRAG(config)
with open("calendar.json", "r", encoding="utf-8") as f:
calendar_data = json.load(f)
pipeline.load_data(calendar_data)
return pipeline
except Exception as e:
st.error(f"Error initializing pipeline: {str(e)}")
return None
def load_qa_history():
"""Load QA history from local JSON file"""
try:
history_file = Path("qa_history.json")
if history_file.exists():
with open(history_file, "r", encoding="utf-8") as f:
return json.load(f)
return []
except Exception as e:
st.error(f"Error loading QA history: {str(e)}")
return []
def save_qa_history(history_entry):
"""Save QA history entry to local JSON file and push to GitHub"""
try:
history_file = Path("qa_history.json")
# Initialize or load existing history
if history_file.exists():
with open(history_file, "r", encoding="utf-8") as f:
try:
history_data = json.load(f)
except json.JSONDecodeError:
st.error("Error parsing existing JSON file")
history_data = []
else:
history_data = []
# Append new entry
history_data.append(history_entry)
# Save updated history locally
with open("qa_history.json", "w", encoding="utf-8") as f:
json.dump(history_data, f, ensure_ascii=False, indent=2)
# st.info("Saved locally, attempting GitHub upload...")
# Push to GitHub
github_token = os.getenv('GITHUB_TOKEN') or st.secrets['GITHUB_TOKEN']
if not github_token:
st.error("GitHub token not found!")
return
from github import Github
g = Github(github_token)
# Replace with your repository name
repo = g.get_repo("jirasaksaimekJijo/swu-chat-bot-project")
try:
# Try to get the file first
contents = repo.get_contents("qa_history.json")
response = repo.update_file(
path="qa_history.json",
message="Update QA history",
content=json.dumps(history_data, ensure_ascii=False, indent=2),
sha=contents.sha
)
# st.success(f"Successfully updated file on GitHub: {response.commit.html_url}")
except Exception as e:
# st.info(f"File doesn't exist yet, creating new one... Error was: {str(e)}")
# File doesn't exist, create it
response = repo.create_file(
path="qa_history.json",
message="Create QA history",
content=json.dumps(history_data, ensure_ascii=False, indent=2)
)
# st.success(f"Successfully created file on GitHub: {response['commit'].html_url}")
except Exception as e:
# st.error(f"Error saving QA history: {str(e)}")
import traceback
# st.error(f"Full error: {traceback.format_exc()}")
def add_to_qa_history(query: str, answer: str):
"""Add new QA pair to history"""
history_entry = {
"timestamp": (datetime.now() + timedelta(hours=5)).isoformat(),
"query": query,
"answer": answer
}
save_qa_history(history_entry)
return history_entry
def add_to_history(role: str, message: str):
"""Add message to chat history and save if it's a complete QA pair"""
st.session_state.chat_history.append((role, message))
# If this is an assistant response, save the QA pair
if role == "assistant" and len(st.session_state.chat_history) >= 2:
# Get the corresponding user query (previous message)
user_query = st.session_state.chat_history[-2][1]
add_to_qa_history(user_query, message)
def display_chat_history():
"""Display chat history with enhanced styling"""
for i, (role, message) in enumerate(st.session_state.chat_history):
if role == "user":
st.markdown(f"""
<div class="chat-message user-message">
<strong>🧑 คำถาม:</strong><br>
{message}
</div>
""", unsafe_allow_html=True)
else:
st.markdown(f"""
<div class="chat-message assistant-message">
<strong>🤖 คำตอบ:</strong><br>
{message}
</div>
""", unsafe_allow_html=True)
if 'context_memory' not in st.session_state:
st.session_state.context_memory = []
def handle_submit(user_query: str):
"""Handle form submission logic"""
if not user_query:
st.warning("⚠️ กรุณาระบุคำถาม")
return
user_query = user_query.strip()
# Prevent duplicate submissions by checking last message
if not st.session_state.chat_history or st.session_state.chat_history[-1][1] != user_query:
try:
st.session_state.processing_query = True
# Add user message to chat history
st.session_state.chat_history.append(("user", user_query))
# Maintain context memory
if len(st.session_state.context_memory) > 5:
st.session_state.context_memory.pop(0)
# Build query with context
query_with_context = "\n".join(
[f"Q: {qa['query']}\nA: {qa['answer']}" for qa in st.session_state.context_memory]
) + f"\nQ: {user_query}"
# Process query
result = st.session_state.pipeline.process_query(query_with_context)
# Create response dictionary with answer and documents
response_dict = {
"answer": result.get("answer", ""),
"documents": result.get("documents", [])
}
# Update chat history and context
st.session_state.chat_history.append(("assistant", response_dict))
st.session_state.context_memory.append({"query": user_query, "answer": response_dict})
# Save to QA history
add_to_qa_history(user_query, response_dict)
except Exception as e:
st.session_state.chat_history.append(("assistant", f"❌ เกิดข้อผิดพลาด: {str(e)}"))
st.error(f"Query processing error: {e}")
finally:
st.session_state.processing_query = False
st.rerun()
def create_chat_input():
"""Create the chat input section with form handling"""
# Column layout for the entire input section
input_col, clear_col = st.columns([4, 1])
with input_col:
# Create the form for chat input
with st.form(key="chat_form", clear_on_submit=True):
st.markdown("""
<label for="query_input" style="font-size: 1.2rem; font-weight: 600; margin-bottom: 1rem; display: block;">
<span style="color: #ffffff; border-left: 4px solid #ffffff; padding-left: 0.8rem;">
โปรดระบุคำถามเกี่ยวกับปฏิทินการศึกษา:
</span>
</label>
""", unsafe_allow_html=True)
# Text input
query = st.text_input(
"",
key="query_input",
placeholder="เช่น: วันสุดท้ายของการสอบปากเปล่าในภาคเรียนที่ 1/2567 คือวันที่เท่าไร?"
)
# Submit button in form
submitted = st.form_submit_button(
"📤 ส่งคำถาม",
type="primary",
use_container_width=True
)
if submitted:
handle_submit(query)
# Clear history button outside the form
with clear_col:
if st.button("🗑️ ล้างประวัติ", type="secondary", use_container_width=True):
st.session_state.context_memory = []
st.session_state.chat_history = []
st.rerun()
def main():
# Page config
st.set_page_config(
page_title="Academic Calendar Assistant",
page_icon="📅",
layout="wide",
initial_sidebar_state="collapsed"
)
# Load custom CSS
load_custom_css()
# Initialize session states
if 'pipeline' not in st.session_state:
st.session_state.pipeline = None
if 'chat_history' not in st.session_state:
st.session_state.chat_history = []
if 'context_memory' not in st.session_state:
st.session_state.context_memory = []
if 'processing_query' not in st.session_state:
st.session_state.processing_query = False
# Load QA history at startup
if 'qa_history_loaded' not in st.session_state:
st.session_state.qa_history_loaded = True
load_qa_history()
# Initialize pipeline
if st.session_state.pipeline is None:
with st.spinner("กำลังเริ่มต้นระบบ..."):
st.session_state.pipeline = initialize_pipeline()
# Header
st.markdown("""
<div style="text-align: center; padding: 2rem 0;">
<h1>🎓 ระบบค้นหาข้อมูลปฏิทินการศึกษา</h1>
<p style="font-size: 1.2rem; color: #666;">บัณฑิตวิทยาลัย มหาวิทยาลัยศรีนครินทรวิโรฒ</p>
</div>
""", unsafe_allow_html=True)
chat_col, info_col = st.columns([7, 3])
with chat_col:
# Display chat history first
for i, (role, content) in enumerate(st.session_state.chat_history):
if role == "user":
st.markdown(f"""
<div class="chat-message user-message">
<strong>🧑 คำถาม:</strong><br>
{content}
</div>
""", unsafe_allow_html=True)
else:
if isinstance(content, dict):
assistant_response = content.get('answer', '❌ ไม่มีข้อมูลคำตอบ')
else:
assistant_response = content
st.markdown(f"""
<div class="chat-message assistant-message">
<strong>🤖 คำตอบ:</strong><br>
{assistant_response}
</div>
""", unsafe_allow_html=True)
if isinstance(content, dict) and content.get('documents'):
with st.expander("📚 แสดงข้อมูลอ้างอิง", expanded=False):
for i, doc in enumerate(content['documents'], 1):
st.markdown(f"""
<div style="padding: 1rem; background-color: #000000; border-radius: 8px; margin: 0.5rem 0;">
<strong>เอกสารที่ {i}:</strong><br>
{doc.content}
</div>
""", unsafe_allow_html=True)
# Create chat input using the new implementation
create_chat_input()
# Sidebar info column
with info_col:
st.markdown("""
<div style="background-color: #F9FAFB; padding: 1.5rem; border-radius: 12px; margin-bottom: 2rem;">
<h3 style="color: #1E3A8A;">ℹ️ เกี่ยวกับระบบ</h3>
<p style="color: #000000;">
ระบบนี้ใช้เทคโนโลยี <strong>RAG (Retrieval-Augmented Generation)</strong>
ในการค้นหาและตอบคำถามเกี่ยวกับปฏิทินการศึกษา
</p>
<h4 style="color: #1E3A8A; margin-top: 1rem;">สามารถสอบถามข้อมูลเกี่ยวกับ:</h4>
<ul style="list-style-type: none; padding-left: 0;">
<li style="color: #000000; margin-bottom: 0.5rem;">📅 กำหนดการต่างๆ ในปฏิทินการศึกษา</li>
<li style="color: #000000; margin-bottom: 0.5rem;">🎯 วันสำคัญและกิจกรรม</li>
<li style="color: #000000; margin-bottom: 0.5rem;">📝 การลงทะเบียนเรียน</li>
<li style="color: #000000; margin-bottom: 0.5rem;">📚 กำหนดการสอบ</li>
<li style="color: #000000; margin-bottom: 0.5rem;">🏖️ วันหยุดการศึกษา</li>
</ul>
</div>
""", unsafe_allow_html=True)
st.markdown("""
<div style="background-color: #f9fafb; padding: 1.5rem; border-radius: 12px;">
<h3 style="color: #1E3A8A;">🔄 สถานะระบบ</h3>
<div style="margin-top: 1rem;">
<p><strong style="color: #000000;">⏰ เวลาปัจจุบัน:</strong><br>
<span style="color: #000000;">{}</span></p>
<p><strong style="color: #000000;">📡 สถานะระบบ:</strong><br>
<span class="status-indicator {}">
{} {}
</span></p>
</div>
</div>
""".format(
(datetime.now() + timedelta(hours=5)).strftime('%Y-%m-%d %H:%M:%S'),
"status-online" if st.session_state.pipeline else "status-offline",
"🟢" if st.session_state.pipeline else "🔴",
"พร้อมใช้งาน" if st.session_state.pipeline else "ไม่พร้อมใช้งาน"
), unsafe_allow_html=True)
if __name__ == "__main__":
main() |