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import os
import streamlit as st
import time
import logging
from concurrent.futures import ThreadPoolExecutor, as_completed
from queue import Queue, Empty
import uuid
from streaming_generator import clear_upload_directory, setup_retrieval_system, process_uploaded_files
from app.summarization.summarizer import DocumentSummarizer
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - [%(threadName)s:%(lineno)d] - %(message)s')
logger = logging.getLogger(__name__)
st.set_page_config(page_title="SynopSync - AI-Powered Scientific Summarization", page_icon="📄", layout="wide")
os.environ["XDG_CONFIG_HOME"] = "/tmp"
# --- CUSTOM CSS ---
custom_css = """
<style>
/* --- Overall Font & Body --- */
body {
font-family: 'Segoe UI', 'Roboto', 'Helvetica Neue', Arial, sans-serif; /* Modern font stack */
color: #333; /* Darker grey for better readability */
}
.main .block-container { /* Targets the main content area */
padding-top: 2rem; /* Add some space at the top */
}
/* --- Page Title (st.title) --- */
h1[data-testid="stTitle"] {
font-size: 2.2rem !important; /* Slightly reduced title size */
font-weight: 700 !important;
color: #1E88E5; /* A nice, vibrant blue */
text-align: center;
margin-bottom: 1.5rem;
letter-spacing: -0.5px;
}
/* --- Sidebar Styling --- */
[data-testid="stSidebarUserContent"] {
padding-top: 1rem;
}
[data-testid="stSidebarUserContent"] .stMarkdown h3, /* For your sidebar subheader */
[data-testid="stSidebarUserContent"] h3 {
font-size: 1.25rem !important;
color: #005A9C; /* Darker blue for sidebar title */
font-weight: 600;
}
[data-testid="stSidebarUserContent"] .stButton>button {
font-size: 0.9rem;
border-radius: 6px;
border: 1px solid #007bff;
padding: 0.4rem 0.8rem;
}
[data-testid="stSidebarUserContent"] .stButton>button:hover {
background-color: #007bff;
color: white;
}
[data-testid="stSidebarUserContent"] .stFileUploader label {
font-size: 0.95rem;
font-weight: 500;
}
/* --- Markdown Content Styling --- */
.stMarkdown {
font-size: 0.92rem; /* Base for markdown text */
line-height: 1.65;
color: #4F4F4F; /* Slightly softer than pure black */
}
.stMarkdown p, .stMarkdown li {
margin-bottom: 0.6rem; /* Space between paragraphs/list items */
}
/* Markdown Headers in main content */
.stMarkdown h2 { /* Used by st.subheader and ## markdown */
font-size: 1.6rem;
color: #2c3e50; /* Dark blue-grey */
border-bottom: 2px solid #e0e0e0;
padding-bottom: 0.4rem;
margin-top: 2rem;
margin-bottom: 1.2rem;
font-weight: 600;
}
/* Component Titles (e.g., "Basic Paper Information") inside expanders/columns */
.stMarkdown h3 { /* Used by st.subheader in columns/expanders and ### markdown */
font-size: 1.20rem; /* Smaller for component titles */
color: #007BFF; /* Bright blue for emphasis */
margin-top: 0rem; /* REVISED: Removed margin-top for tighter spacing */
margin-bottom: 0.6rem;
font-weight: 600;
/* border-left: 3px solid #007BFF; */
/* padding-left: 0.5rem; */
}
.stMarkdown h4 {
font-size: 1.05rem;
color: #333;
font-weight: 600;
}
/* --- Expander Styling --- */
.stExpander {
border: 1px solid #ddd !important;
border-radius: 8px !important;
margin-bottom: 1rem !important;
background-color: #fdfdfd; /* Slightly off-white */
}
.stExpander summary {
font-size: 1.1rem !important; /* Title of the expander */
font-weight: 600 !important;
color: #334E68; /* A muted, professional blue */
padding: 0.6rem 0.8rem !important;
border-radius: 8px 8px 0 0; /* Match top corners */
}
.stExpander summary:hover {
background-color: #f0f4f8;
}
.stExpander div[data-testid="stExpanderDetails"] {
padding: 0.5rem 1rem 1rem 1rem; /* Padding inside the expander */
}
/* --- Placeholders & Info/Status Boxes --- */
.stAlert { /* Targets st.info, st.success, st.warning, st.error */
font-size: 0.88rem;
padding: 0.75rem;
border-radius: 6px;
border-width: 1px;
border-left-width: 5px;
}
div[data-testid="stInfo"] {
border-left-color: #17a2b8; /* Bootstrap info color */
background-color: #e8f7f9;
}
div[data-testid="stSuccess"] {
border-left-color: #28a745; /* Bootstrap success color */
background-color: #eaf6eb;
}
div[data-testid="stWarning"] {
border-left-color: #ffc107; /* Bootstrap warning color */
background-color: #fff8e6;
}
div[data-testid="stError"] {
border-left-color: #dc3545; /* Bootstrap error color */
background-color: #fdecea;
}
/* Text within st.empty() before content loads, or generic st.text */
[data-testid="stText"] {
font-size: 0.88rem;
color: #555;
font-style: italic;
}
/* Progress/Timer text */
.stApp [data-testid="stText"], .stApp [data-testid="stMarkdownContainer"] p:has(> code) { /* Targeting timer */
font-size: 0.9rem;
color: #007BFF; /* Make timer text blue */
font-weight: 500;
}
/* Spinner color change (More advanced, might need JS or specific Streamlit features if this doesn't work well) */
.stSpinner > div {
border-top-color: #007BFF !important; /* Spinner color */
}
/* REVISED: Styling for the custom blinking cursor span, directly controlled by Python */
.blinking-cursor {
animation: blink 1s step-end infinite;
color: #007BFF;
display: inline-block; /* Ensures the cursor is visible next to text */
}
@keyframes blink {
from, to { opacity: 1; }
50% { opacity: 0; }
}
/* --- Caption --- */
.stCaption {
font-size: 0.8rem;
color: #777;
text-align: center;
margin-top: 2rem;
}
</style>
"""
st.markdown(custom_css, unsafe_allow_html=True)
# --- END CUSTOM CSS ---
# Initialize session state variables
if 'file_placeholders' not in st.session_state:
st.session_state.file_placeholders = {}
if 'results' not in st.session_state:
st.session_state.results = {}
if 'component_content' not in st.session_state:
st.session_state.component_content = {}
if 'tasks_running' not in st.session_state:
st.session_state.tasks_running = 0
if 'start_time' not in st.session_state:
st.session_state.start_time = None
if 'timer_placeholder' not in st.session_state:
st.session_state.timer_placeholder = None # Will be created when needed
with st.sidebar:
st.markdown("<h3>🗂️ Aya Multi-File Summary Tool 🚀</h3>", unsafe_allow_html=True)
uploaded_files = st.file_uploader("Choose PDF files to analyze:", type="pdf", accept_multiple_files=True)
if st.button("🧹 Clear Upload Cache", help="Removes temporarily saved uploaded files and resets the app state."):
try:
clear_upload_directory()
st.success("Temporary upload directory cleared.")
st.session_state.file_placeholders = {}
st.session_state.results = {}
st.session_state.component_content = {}
st.session_state.tasks_running = 0
st.session_state.start_time = None
if st.session_state.timer_placeholder:
st.session_state.timer_placeholder.empty()
st.session_state.timer_placeholder = None
st.rerun()
except Exception as e:
st.error(f"Error clearing directory: {e}")
logger.error(f"Error during cache clear: {e}", exc_info=True)
summarize_button = st.button("✨ Summarize All Files",
type="primary",
key="summarize_all",
disabled=st.session_state.tasks_running > 0 or not uploaded_files,
use_container_width=True)
# Main content area
st.title("📄✨ Aya Insight - AI-Powered Scientific Summarization")
# Main app description - using more markdown features for better look
st.markdown(
"""
Welcome to **Aya Insight**! Your intelligent assistant for dissecting and understanding PDF documents.
- 📥 **Upload your documents** using the panel on the left.
- 📌 Supports **PDF** format for analysis.
🧠 Click on **'Summarize All Files'** and Aya will generate:
- `🔎` **Section-wise Insights**: Detailed breakdowns of document segments.
- `📝` **Concise Summaries**: Quick understanding of the core content.
- `📌` **Key Takeaways**: The most crucial points highlighted.
⚡ _Perfect for accelerating research, reviewing reports, or mastering bulk document analysis!_
"""
)
if st.session_state.timer_placeholder is None:
st.session_state.timer_placeholder = st.empty()
def get_and_summarize_component_task(comp, update_queue):
component_key = comp['comp_name']
stream = comp[component_key]
filename = comp['filename']
try:
chunk_count = 0
if component_key == 'resource_link': # Special handling for non-LLM stream
for event in stream:
update_queue.put(('chunk', filename, component_key, str(event)))
chunk_count += 1
else:
# Handle regular component streams (LLM responses)
for event in stream:
if event.type == "content-delta":
delta_text = event.delta.message.content.text
update_queue.put(('chunk', filename, component_key, delta_text))
chunk_count += 1
if chunk_count == 0: # If the stream was empty or yielded no actual content
update_queue.put(
('comp_done', filename, component_key, "*No specific content generated for this section.*"))
else:
update_queue.put(
('comp_done', filename, component_key, None)) # None indicates success, content already streamed
logger.info(f"[{filename}-{component_key}] Finished processing stream. Chunks: {chunk_count}")
except Exception as e:
logger.error(f"Error in component task for {filename}-{component_key}: {e}", exc_info=True)
error_msg = f"_Error processing {component_key.replace('_', ' ').title()}: {str(e)[:100]}..._"
update_queue.put(('comp_error', filename, component_key, error_msg))
def process_file_task(doc_data, update_queue):
filename = doc_data.get('filename', f'unknown_file_{uuid.uuid4()}')
try:
logger.info(f"[{filename}] Starting process_file_task.")
update_queue.put(('status', filename, None, "🔄 Initializing analysis engine..."))
doc_data, retriever = setup_retrieval_system(doc_data)
summarizer = DocumentSummarizer(retriever)
update_queue.put(('status', filename, None, "⚙️ Generating content components..."))
components = summarizer.generate_summarizer_components(
filename=doc_data.get("filename"),
language=doc_data.get("language", "en"),
chunk_size=doc_data.get("chunk_size", 1000),
document_text=doc_data.get("text", '')[:1000]
)
component_futures = {}
total_components = len(getattr(summarizer, 'COMPONENT_TYPES', components))
with ThreadPoolExecutor(max_workers=min(16, total_components + 1)) as component_executor:
for comp in components:
comp_name_for_log = comp.get('comp_name', 'unknown_component')
logger.info(f"[{filename}] Submitting task for component: {comp_name_for_log}")
future = component_executor.submit(
get_and_summarize_component_task,
comp, update_queue
)
component_futures[future] = comp_name_for_log
processed_count = 0
for future in as_completed(component_futures):
comp_key = component_futures[future]
processed_count += 1
try:
future.result() # Check for exceptions during component task execution
except Exception as exc:
logger.error(f'[{filename}-{comp_key}] Exception in component task execution: {exc}', exc_info=True)
update_queue.put(('comp_error', filename, comp_key,
f"_Critical error in {comp_key.replace('_', ' ').title()}: {str(exc)[:100]}..._"))
logger.info(f"[{filename}] All ({processed_count}/{total_components}) component tasks completed submission and processing.")
update_queue.put(('file_done', filename)) # Signal that this file's processing (all components) is done
except Exception as e:
logger.error(f"[{filename}] Critical error in process_file_task: {e}", exc_info=True)
update_queue.put(('file_error', filename, f"Critical processing error: {str(e)[:150]}..."))
if uploaded_files:
if not summarize_button and not st.session_state.tasks_running:
st.info(f"Found {len(uploaded_files)} PDF file(s). Click 'Summarize All Files' in the sidebar to process.")
if summarize_button:
st.markdown("---")
st.markdown("## Processing Document Insights...")
st.session_state.start_time = time.time()
if st.session_state.timer_placeholder is None:
st.session_state.timer_placeholder = st.empty()
st.session_state.results = {}
st.session_state.file_placeholders = {}
st.session_state.component_content = {}
st.session_state.tasks_running = len(uploaded_files)
update_queue = Queue()
component_info = {
'resource_link': '🔗 Original Research Link',
'basic_info': "ℹ️ Basic Paper Information",
'abstract': "📝 Abstract Summary",
'methods': "🔬 Methodology Overview",
'technical': "⚙️ Technical Details & Concepts",
'equations': "🧮 Key Equations & Formulas",
'results': "📊 Results & Findings",
'limitations': "🚧 Limitations & Future Work",
'related_work': "📚 Related Work",
'applications': "💡 Practical Applications & Use Cases",
}
try:
temp_summarizer = DocumentSummarizer(retriever=None)
if hasattr(temp_summarizer, 'COMPONENT_TYPES') and isinstance(temp_summarizer.COMPONENT_TYPES, dict):
component_info = temp_summarizer.COMPONENT_TYPES
logger.info(f"Dynamically loaded component types: {list(component_info.keys())}")
else:
logger.warning("DocumentSummarizer does not have a 'COMPONENT_TYPES' dict. Using default.")
except Exception as e:
st.warning(f"Could not pre-fetch dynamic component structure: {e}. Using defaults.")
logger.warning(f"Failed to get dynamic component info: {e}", exc_info=True)
default_layout_order = [
['resource_link'],
['basic_info', 'methods'],
['abstract', 'technical'],
['equations'],
['results'],
['applications', 'limitations'],
['related_work'],
]
layout_order = []
all_available_components = set(component_info.keys())
used_components = set()
for row_template in default_layout_order:
current_row = [comp_key for comp_key in row_template if comp_key in all_available_components]
if current_row:
layout_order.append(current_row)
for comp_key in current_row:
used_components.add(comp_key)
# Add any remaining components that weren't in the default layout
if all_available_components - used_components:
remaining_components_sorted = sorted(list(all_available_components - used_components))
if remaining_components_sorted:
layout_order.append(remaining_components_sorted) # Add them as a single row, sorted alphabetically
# Create expandable sections for each file
for file_index, current_file in enumerate(uploaded_files):
file_name = current_file.name
# Create an expander for each file, styled by CSS
with st.expander(f"📄 {file_name}", expanded=True):
status_ph = st.empty()
status_ph.info("Queued for processing...")
component_phs_dict = {}
component_content_dict = {}
if not layout_order and component_info:
st.markdown("### Summary Sections")
for comp_key in component_info.keys():
comp_name = component_info.get(comp_key, comp_key.replace('_', ' ').title())
st.markdown(f"#### {comp_name}")
component_phs_dict[comp_key] = st.empty()
component_content_dict[comp_key] = ""
elif not component_info:
st.markdown("### Processing Output")
component_phs_dict['summary'] = st.empty() # Generic placeholder
component_content_dict['summary'] = ""
else:
# Render based on the dynamic layout_order
for row in layout_order:
if not row: continue # Skip empty rows
cols = st.columns(len(row))
for i, comp_key in enumerate(row):
with cols[i]:
with st.container(border=True):
comp_name = component_info.get(comp_key, comp_key.replace('_', ' ').title())
st.markdown(f"### {comp_name}")
component_phs_dict[comp_key] = st.empty()
component_content_dict[comp_key] = ""
st.session_state.file_placeholders[file_name] = {
'status': status_ph,
'components': component_phs_dict
}
st.session_state.component_content[file_name] = component_content_dict
try:
UPLOAD_DIR = os.path.join("/tmp", "uploaded_pdfs")
os.makedirs(UPLOAD_DIR, exist_ok=True)
local_files = []
for uploaded_file in uploaded_files:
file_path = os.path.join(UPLOAD_DIR, uploaded_file.name)
with open(file_path, "wb") as f:
f.write(uploaded_file.getbuffer()) # Save PDF to disk
local_files.append(file_path)
extraction_results = process_uploaded_files(uploaded_files)
except Exception as e:
st.error(f"Critical error during initial file processing: {e}")
logger.error(f"Error during process_uploaded_files: {e}", exc_info=True)
st.session_state.tasks_running = 0
st.stop() # Stop execution if initial processing fails
process_executor = ThreadPoolExecutor(
max_workers=min(8, len(uploaded_files))) # Limit concurrent file processing tasks
submitted_files = set()
for result_data in extraction_results:
filename = result_data.get('filename')
if filename and filename in st.session_state.file_placeholders:
process_executor.submit(process_file_task, result_data, update_queue)
submitted_files.add(filename)
st.session_state.file_placeholders[filename]['status'].info(
f"⏳ Processing: {filename}...") # Styled by CSS
else:
logger.warning(f"Filename {filename} from extraction_results not found in placeholders or is None.")
st.session_state.tasks_running -= 1 # Decrement if a file can't be processed
files_done_processing = set()
# Store component status for each file to determine overall file status
component_statuses = {fname: {} for fname in submitted_files}
active_spinners_markers = {fname: {ckey: True for ckey in st.session_state.component_content[fname]} for fname in submitted_files}
while st.session_state.tasks_running > 0:
if st.session_state.start_time is not None and st.session_state.timer_placeholder:
elapsed_time = time.time() - st.session_state.start_time
st.session_state.timer_placeholder.markdown(
f"⏳ **Overall Processing Time:** `{elapsed_time:.2f} seconds`")
try:
msg = update_queue.get(timeout=0.1) # Timeout to allow UI updates and time checks
msg_type = msg[0]
filename = msg[1] # Filename is always the second element
if filename not in st.session_state.file_placeholders:
logger.warning(f"Received message for unknown/already-cleared file: {filename}. Type: {msg_type}")
update_queue.task_done()
continue
file_placeholders = st.session_state.file_placeholders[filename]
file_component_content = st.session_state.component_content[filename]
if msg_type == 'chunk':
_, _, comp_key, text_delta = msg
if comp_key in file_component_content:
file_component_content[comp_key] += text_delta
display_text = file_component_content[comp_key] + '<span class="blinking-cursor">▌</span>'
if comp_key in file_placeholders['components']:
file_placeholders['components'][comp_key].markdown(
display_text, unsafe_allow_html=True
)
elif msg_type == 'comp_done':
_, _, comp_key, final_message = msg
component_statuses.setdefault(filename, {})[comp_key] = 'done'
active_spinners_markers.get(filename, {}).pop(comp_key, None) # Remove marker
if comp_key in file_placeholders['components']:
final_content = file_component_content.get(comp_key, "")
if final_message:
if final_content and not final_content.endswith("\n\n"):
final_content += "\n\n"
final_content += f"*{final_message}*"
file_placeholders['components'][comp_key].markdown(final_content)
elif msg_type == 'comp_error':
_, _, comp_key, error_msg = msg
component_statuses.setdefault(filename, {})[comp_key] = 'error'
active_spinners_markers.get(filename, {}).pop(comp_key, None) # Remove marker
if comp_key in file_placeholders['components']:
file_placeholders['components'][comp_key].error(f"⚠️ {error_msg}")
elif msg_type == 'status': # General status update for the file
_, _, _, status_msg = msg # comp_key is None for general file status
file_placeholders['status'].info(f"⏳ {status_msg}") # Styled by CSS
elif msg_type == 'file_done':
if filename not in files_done_processing:
files_done_processing.add(filename)
st.session_state.tasks_running -= 1
final_file_status = 'success' # Assume success initially
file_comp_statuses = component_statuses.get(filename, {})
if not file_comp_statuses:
if any(v == 'error' for v in file_comp_statuses.values()):
final_file_status = 'error'
else:
final_file_status = 'warning_nodata'
elif any(v == 'error' for v in file_comp_statuses.values()):
final_file_status = 'error'
elif not any(file_component_content.get(k, "").strip() and file_component_content.get(k, "").strip() != "*No specific content generated for this section.*" for k in file_comp_statuses if file_comp_statuses.get(k) == 'done'):
final_file_status = 'warning_nodata'
status_ph = file_placeholders['status']
if final_file_status == 'success':
status_ph.success(f"✅ Summarization Complete for {filename}!")
st.session_state.results[filename] = True
elif final_file_status == 'warning_nodata':
status_ph.warning(f"⚠️ {filename} processed, but some sections have limited or no content.")
st.session_state.results[filename] = "warning"
else: # 'error'
status_ph.error(f"❌ {filename} completed with errors in some sections.")
st.session_state.results[filename] = False
# Ensure all component spinners are removed for this file
for comp_key_iter, placeholder in file_placeholders['components'].items():
if active_spinners_markers.get(filename, {}).get(
comp_key_iter): # If spinner was still active
final_c_content = file_component_content.get(comp_key_iter, "")
placeholder.markdown(final_c_content) # Update with final content
elif msg_type == 'file_error':
_, critical_error_msg = msg
if filename not in files_done_processing:
files_done_processing.add(filename)
st.session_state.tasks_running -= 1
file_placeholders['status'].error(
f"❌ Critical Error processing {filename}: {critical_error_msg}")
st.session_state.results[filename] = False
for comp_key_iter, placeholder in file_placeholders['components'].items():
if active_spinners_markers.get(filename, {}).get(comp_key_iter):
placeholder.markdown("_Processing halted due to critical file error._")
update_queue.task_done()
except Empty:
pass
except Exception as loop_exc:
logger.error(f"Error in main UI update loop: {loop_exc}", exc_info=True)
st.error(f"A critical error occurred while updating the UI: {loop_exc}")
st.session_state.tasks_running = 0
if st.session_state.start_time is not None and st.session_state.timer_placeholder:
final_elapsed_time = time.time() - st.session_state.start_time
st.session_state.timer_placeholder.success(f"🎉 All processing finished in {final_elapsed_time:.2f} seconds!")
st.session_state.start_time = None
process_executor.shutdown(wait=False)
if __name__ == "__main__":
if "__streamlitmagic__" not in locals():
from streamlit.web.bootstrap import run
run(__file__, False, [], {}) |