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e15d562 096f402 c9a45c3 7002223 096f402 7002223 ec8d5b3 c9a45c3 ec8d5b3 096f402 ec8d5b3 7002223 ec8d5b3 c9a45c3 096f402 ec8d5b3 c9a45c3 7002223 c9a45c3 7002223 c9a45c3 ec8d5b3 c9a45c3 ec8d5b3 096f402 c9a45c3 096f402 ec8d5b3 7002223 c9a45c3 7002223 c9a45c3 db8b3aa c9a45c3 ec8d5b3 096f402 ec8d5b3 f37b1cc c9a45c3 7002223 c9a45c3 096f402 7002223 c9a45c3 a0e69bf 7002223 ec8d5b3 c9a45c3 7002223 e15d562 c9a45c3 096f402 53797fc 7002223 096f402 ec8d5b3 c0bd797 7002223 c9a45c3 7002223 c9a45c3 7002223 e15d562 096f402 ec8d5b3 c9a45c3 7002223 c9a45c3 096f402 7002223 | 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 | import streamlit as st
from components.upload import upload_section
from components.summaries import summary_section
from components.insights import insights_section
from src.chat import chat_section
from src.topic_modeling import lda_topic_modeling
from src.visualizations import generate_wordcloud
# =====================================================
# PAGE CONFIGURATION
# =====================================================
st.set_page_config(
page_title="LitReviewAI",
page_icon="📚",
layout="wide"
)
st.title("📚 LitReviewAI: AI-Powered Research Literature Assistant")
# =====================================================
# SESSION STATE
# =====================================================
if "papers" not in st.session_state:
st.session_state.papers = []
if "collections" not in st.session_state:
st.session_state.collections = {}
# =====================================================
# TABS
# =====================================================
tabs = st.tabs(
[
"ℹ️ About",
"📤 Upload",
"💬 Chat",
"📑 Summaries",
"📊 Topic Modeling",
"⚡ Insights"
]
)
# =====================================================
# ABOUT
# =====================================================
with tabs[0]:
st.header("About LitReviewAI")
st.markdown(
"""
### LitReviewAI
LitReviewAI is an AI-powered research assistant designed to help researchers analyze, summarize, and explore scientific literature.
### Features
- 📄 Automatic PDF parsing
- 🧠 AI-powered paper analysis
- 🔍 Research gap identification
- ⚠️ Limitation extraction
- 🔑 Keyword extraction
- 📊 Topic modeling (LDA)
- 🌐 Co-author collaboration network
- 💬 Chat with uploaded research papers (RAG)
- 📚 BibTeX export
"""
)
# =====================================================
# UPLOAD
# =====================================================
with tabs[1]:
upload_section()
# =====================================================
# CHAT
# =====================================================
with tabs[2]:
chat_section()
# =====================================================
# SUMMARIES
# =====================================================
with tabs[3]:
summary_section()
# =====================================================
# TOPIC MODELING
# =====================================================
with tabs[4]:
st.header("📊 Topic Modeling")
if st.session_state.papers:
topics = lda_topic_modeling(
st.session_state.papers
)
if not topics.empty:
st.dataframe(
topics,
use_container_width=True
)
st.subheader("☁️ Word Cloud")
generate_wordcloud(
st.session_state.papers
)
else:
st.info("Upload papers first.")
# =====================================================
# INSIGHTS
# =====================================================
with tabs[5]:
insights_section() |