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import shutil
from huggingface_hub import snapshot_download, hf_hub_download, list_repo_files, HfApi
from pathlib import Path
from huggingface_hub import list_repo_files, hf_hub_download
import streamlit as st
import os
from PIL import Image
import pandas as pd
import json
from datetime import datetime
from typing import List, Dict, Any, Optional
from RAG import EnhancedMultimodalRAGSystem
from config import *
# Page config
st.set_page_config(
page_title="DTMI UGM Academic Assistant",
page_icon="π",
layout="wide",
initial_sidebar_state="expanded"
)
st.markdown("""
<style>
/* Main Header */
.main-header {
background: linear-gradient(135deg, #1e3c72 0%, #2a5298 50%, #4a90e2 100%);
padding: 2rem;
border-radius: 15px;
color: white;
text-align: center;
margin-bottom: 2rem;
box-shadow: 0 8px 32px rgba(0,0,0,0.1);
}
.main-header h1 {
margin-bottom: 0.5rem;
font-size: 2.5rem;
font-weight: 700;
}
.main-header p {
margin: 0.3rem 0;
opacity: 0.9;
}
/* Chat Messages - Hitam Putih Simple */
.user-message {
background: #2d2d2d;
color: white;
padding: 1.2rem;
border-radius: 15px;
margin: 1rem 0;
border-left: 5px solid #0084ff;
box-shadow: 0 4px 12px rgba(0,0,0,0.2);
animation: slideInRight 0.3s ease-out;
}
.assistant-message {
background: #f8f9fa;
color: #2d2d2d;
padding: 1.2rem;
border-radius: 15px;
margin: 1rem 0;
border-left: 5px solid #28a745;
box-shadow: 0 4px 12px rgba(0,0,0,0.1);
animation: slideInLeft 0.3s ease-out;
}
@keyframes slideInRight {
from { transform: translateX(20px); opacity: 0; }
to { transform: translateX(0); opacity: 1; }
}
@keyframes slideInLeft {
from { transform: translateX(-20px); opacity: 0; }
to { transform: translateX(0); opacity: 1; }
}
/* Example Queries */
.example-query {
background: #fff8e1;
color: #333;
padding: 1rem;
border-radius: 10px;
margin: 0.5rem 0;
border-left: 4px solid #ff9800;
cursor: pointer;
transition: all 0.3s ease;
box-shadow: 0 2px 8px rgba(255, 152, 0, 0.1);
}
.example-query:hover {
background: #ffecb3;
transform: translateY(-2px);
box-shadow: 0 4px 12px rgba(255, 152, 0, 0.2);
}
/* Source Preview */
.source-preview {
background: #f5f5f5;
color: #333;
padding: 1rem;
border-radius: 10px;
margin: 0.5rem 0;
font-size: 0.9em;
border-left: 3px solid #6c757d;
}
/* Buttons */
.stButton > button {
border-radius: 10px !important;
font-weight: 600 !important;
transition: all 0.3s ease !important;
}
.stButton > button:hover {
transform: translateY(-1px) !important;
box-shadow: 0 4px 12px rgba(0,0,0,0.15) !important;
}
.chat-container {
height: calc(100vh - 180px);
overflow-y: auto;
padding: 1rem;
border: 1px solid #e0e0e0;
border-radius: 10px;
background-color: #fafafa;
margin-bottom: 1rem;
}
.fixed-input {
position: fixed;
bottom: 2rem;
width: 60%;
max-width: 800px;
left: 50%;
transform: translateX(-50%);
background-color: white;
padding: 1rem;
border-radius: 10px;
box-shadow: 0 4px 16px rgba(0,0,0,0.1);
z-index: 999;
}
.spacer {
height: 120px; /* Tambahkan spacer agar konten tak tertutup input */
}
</style>
""", unsafe_allow_html=True)
@st.cache_resource
def initialize_rag_system():
try:
return EnhancedMultimodalRAGSystem()
except Exception as e:
st.error(f"β Error initializing RAG system: {e}")
st.stop()
def display_example_queries():
"""Display clickable example queries"""
st.markdown("### π‘ Contoh Pertanyaan")
for category, queries in EXAMPLE_QUERIES.items():
with st.expander(f"{category}", expanded=True):
for query in queries:
if st.button(f"π¬ {query}", key=f"example_{hash(query)}", use_container_width=True):
st.session_state.user_input = query
st.rerun()
def display_tables_in_chat(table_data: List[Dict]):
"""Display tables directly in chat"""
if not table_data:
return
st.markdown("### π Tabel Data")
for i, table_info in enumerate(table_data, 1):
with st.expander(f"π {table_info['title']} (Hal. {table_info['page']}, {table_info['year']})", expanded=True):
# Table metadata
col1, col2, col3 = st.columns(3)
with col1:
st.metric("π Halaman", table_info['page'])
with col2:
st.metric("π
Tahun", table_info['year'])
with col3:
st.metric("π Score", f"{table_info['score']:.3f}")
# Display table data
try:
if table_info.get("data_type") == "dataframe" and isinstance(table_info["data"], pd.DataFrame):
st.dataframe(table_info["data"], use_container_width=True)
# Download CSV
csv_data = table_info["data"].to_csv(index=False)
st.download_button(
label="πΎ Download CSV",
data=csv_data,
file_name=f"table_{i}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.csv",
mime="text/csv"
)
elif table_info.get("data_type") == "json":
st.json(table_info["data"])
# Download JSON
json_str = json.dumps(table_info["data"], indent=2, ensure_ascii=False)
st.download_button(
label="πΎ Download JSON",
data=json_str,
file_name=f"data_{i}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
mime="application/json"
)
# Show description
if table_info.get('description'):
st.markdown("**π Deskripsi:**")
st.text(table_info['description'])
except Exception as e:
st.error(f"β Error displaying table: {e}")
def display_single_image_compact(img_info: Dict, index: int):
"""Display single image in compact format - CLEAN VERSION"""
try:
image_path = img_info["path"]
# Check if file exists
if not os.path.exists(image_path):
st.error(f"β Gambar {index} tidak ditemukan")
return
# Load and display image
image = Image.open(image_path)
# Display image with nice styling
st.image(image,
caption=f"π {img_info.get('title', 'Gambar')} - Hal. {img_info.get('page', 'N/A')} ({img_info.get('year', 'N/A')})",
use_container_width=True)
# Compact metadata
col1, col2 = st.columns(2)
with col1:
st.metric("π Relevance Score", f"None")
# {img_info.get('score', 0):.2f}")
with col2:
st.metric("π Ukuran", f"{image.width}Γ{image.height}px")
# Expandable details
with st.expander(f"π Detail Gambar {index}", expanded=False):
if img_info.get('description'):
st.markdown("**π Deskripsi:**")
st.text(img_info['description'])
if img_info.get('caption'):
st.markdown("**π¬ Caption:**")
st.text(img_info['caption'])
except Exception as e:
st.error(f"β Error loading image {index}: {str(e)}")
def display_single_image_full(img_info: Dict):
"""Display single image in full format - CLEAN VERSION"""
try:
image_path = img_info["path"]
if not os.path.exists(image_path):
st.error("β Gambar tidak ditemukan")
return
# Load image
image = Image.open(image_path)
# Display with title
st.markdown(f"### πΌοΈ {img_info.get('title', 'Gambar')}")
# Create columns for image and metadata
col1, col2 = st.columns([3, 1])
with col1:
st.image(image, use_column_width=True)
with col2:
st.markdown("**π Informasi Gambar**")
st.metric("π Halaman", img_info.get('page', 'N/A'))
st.metric("π
Tahun", img_info.get('year', 'N/A'))
# st.metric("π Score", f"{img_info.get('score', 0):.3f}")
st.metric("π Dimensi", f"{image.width} Γ {image.height}")
# Download button
with open(image_path, "rb") as file:
st.download_button(
label="πΎ Download Gambar",
data=file.read(),
file_name=os.path.basename(image_path),
mime="image/png",
use_container_width=True
)
# Description below image
if img_info.get('description'):
st.markdown("**π Deskripsi Gambar:**")
st.info(img_info['description'])
if img_info.get('caption'):
st.markdown("**π¬ Caption:**")
st.info(img_info['caption'])
except Exception as e:
st.error(f"β Error loading image: {str(e)}")
def display_images_in_chat(image_data: List[Dict], show_details: bool = True):
"""Display images directly in chat - CLEAN VERSION"""
if not image_data:
return
st.markdown("### πΌοΈ Gambar Terkait")
if len(image_data) == 1:
st.markdown(f"*Ditemukan 1 gambar relevan*")
else:
st.markdown(f"*Ditemukan {len(image_data)} gambar relevan*")
if len(image_data) > 1:
cols = st.columns(min(len(image_data), 2)) # Max 2 columns
for i, img_info in enumerate(image_data):
with cols[i % 2]:
display_single_image_compact(img_info, i+1)
else:
display_single_image_full(image_data[0])
def enhanced_chat_interface():
if 'messages' not in st.session_state:
st.session_state.messages = []
if 'user_input' not in st.session_state:
st.session_state.user_input = ""
rag_system = initialize_rag_system()
st.markdown("""
<div class="main-header">
<h1>π DTMI UGM Academic Assistant</h1>
<p>Asisten Cerdas Multimodal untuk Informasi Akademik DTMI UGM</p>
<p>π¬ Tanyakan apapun tentang kurikulum, silabus, gambar, dan tabel data</p>
</div>
""", unsafe_allow_html=True)
# Sidebar with controls
with st.sidebar:
st.markdown("### βοΈ Pengaturan")
# Content type preferences
st.markdown("### π― Preferensi Konten")
content_preferences = []
for content_type, description in CONTENT_TYPE_DESCRIPTIONS.items():
if st.checkbox(description, key=f"pref_{content_type}"):
content_preferences.append(content_type)
# Retrieval settings
st.markdown("### π Pengaturan Pencarian")
max_results = st.slider("Jumlah Konteks Maksimal", 5, 20, 10)
# Display settings
st.markdown("### π Tampilan")
show_images_inline = st.checkbox("πΌοΈ Tampilkan Gambar", value=True)
show_tables_inline = st.checkbox("π Tampilkan Tabel", value=True)
compact_mode = st.checkbox("π± Mode Kompak", value=False)
# Chat statistics
if st.session_state.messages:
st.markdown("### π Statistik")
total_messages = len(st.session_state.messages)
st.metric("π¬ Total Pesan", total_messages)
st.metric("π£οΈ Percakapan", total_messages // 2)
# Clear chat
if st.button("ποΈ Hapus Chat", type="secondary", use_container_width=True):
st.session_state.messages = []
st.rerun()
# Main chat area
col1, col2 = st.columns([3, 1] if not compact_mode else [1, 0])
with col1:
# Display chat history
for message in st.session_state.messages:
if message["role"] == "user":
st.markdown(f"""
<div class="user-message">
<strong>π€ Anda:</strong><br>
{message["content"]}
</div>
""", unsafe_allow_html=True)
else:
st.markdown(f"""
<div class="assistant-message">
<strong>π€ Assistant:</strong><br>
{message["content"]}
</div>
""", unsafe_allow_html=True)
# π― DISPLAY MULTIMODAL CONTENT
if "result_data" in message:
result_data = message["result_data"]
# Show quick stats if has multimodal content
if result_data.get("has_images") or result_data.get("has_tables"):
st.markdown("---") # Separator
col_stats1, col_stats2, col_stats3 = st.columns(3)
with col_stats1:
st.metric("πΌοΈ Gambar", len(result_data.get("image_data", [])))
with col_stats2:
st.metric("π Tabel", len(result_data.get("table_data", [])))
with col_stats3:
st.metric("π Sumber", result_data.get("total_sources", 0))
# πΌοΈ DISPLAY IMAGES
if show_images_inline and result_data.get("has_images"):
display_images_in_chat(result_data.get("image_data", []))
# π DISPLAY TABLES
if show_tables_inline and result_data.get("has_tables"):
display_tables_in_chat(result_data.get("table_data", []))
# Collapsible sources
if "sources" in message and message["sources"]:
with st.expander("π Lihat Sumber Informasi", expanded=False):
for i, source in enumerate(message["sources"][:3], 1):
content_type = source['metadata']['content_type']
year = source['metadata'].get('year', 'N/A')
page = source['metadata'].get('page', 'N/A')
st.markdown(f"""
**π Sumber {i}:** {CONTENT_TYPE_DESCRIPTIONS.get(content_type, content_type)}
**π
Tahun:** {year} | **π Halaman:** {page}
**π Preview:** {source['content'][:150]}...
""")
st.markdown("---")
# Chat input
user_input = st.chat_input(
"π¬ Tanyakan tentang kurikulum, gambar, tabel, atau informasi lainnya...", key="chat_input")
# Handle example query selection
if st.session_state.user_input:
user_input = st.session_state.user_input
st.session_state.user_input = ""
# π PROCESS USER INPUT
if user_input:
# Add user message
st.session_state.messages.append({"role": "user", "content": user_input})
# Show loading
with st.spinner("π Mencari informasi relevan..."):
try:
result_data = rag_system.query(
user_input,
k=max_results,
content_filter=content_preferences if content_preferences else None
)
# Save assistant message with complete data
assistant_message = {
"role": "assistant",
"content": result_data["answer"],
"sources": result_data["sources"],
"result_data": result_data
}
st.session_state.messages.append(assistant_message)
except Exception as e:
st.error(f"β Terjadi kesalahan: {e}")
st.session_state.messages.append({
"role": "assistant",
"content": "Maaf, terjadi kesalahan dalam memproses pertanyaan Anda. Silakan coba lagi."
})
st.rerun()
# Sidebar dengan example queries (only if not compact)
if not compact_mode:
with col2:
display_example_queries()
# Quick actions
st.markdown("### β‘ Aksi Cepat")
quick_actions = [
("πΌοΈ Cari Gambar", "Tampilkan gambar formulir atau diagram"),
("π Lihat Tabel", "Tabel kurikulum semester 1"),
("π Info Program", "Informasi program studi teknik mesin"),
("π Silabus", "Silabus mata kuliah wajib")
]
for label, query in quick_actions:
if st.button(label, use_container_width=True):
st.session_state.user_input = query
st.rerun()
if st.session_state.messages:
st.markdown("### π€ Export")
if st.button("πΎ Download Chat", use_container_width=True):
chat_export = ""
for msg in st.session_state.messages:
role = "User" if msg["role"] == "user" else "Assistant"
chat_export += f"**{role}:** {msg['content']}\n\n"
st.download_button(
label="π Download Markdown",
data=chat_export,
file_name=f"chat_dtmi_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md",
mime="text/markdown",
use_container_width=True
)
def main():
enhanced_chat_interface()
if __name__ == "__main__":
main()
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