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6c01b98 b7fdbad 6c01b98 b7fdbad 6c01b98 b7fdbad 6c01b98 | 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 | import streamlit as st
import requests
import time
# --- 1. PAGE CONFIG ---
st.set_page_config(
page_title="RAG Insight Assistant",
page_icon="🧠",
layout="wide",
initial_sidebar_state="expanded"
)
# --- 2. THE OFFICIAL UNIFIED UI (CSS) ---
st.markdown("""
<style>
/* Global Reset & Pure Black Background */
.stApp, .stMain, .stBottom, [data-testid="stMainBlockContainer"], [data-testid="stBottomBlockContainer"] {
background-color: #000000 !important;
color: #FFFFFF !important;
}
/* Remove all default borders and shadows */
.st-emotion-cache-4rsbii, .st-emotion-cache-liupih, .st-emotion-cache-1p2n2i4, .st-emotion-cache-128upt6 {
background-color: #000000 !important;
border: none !important;
box-shadow: none !important;
}
[data-testid="stHeader"] {
background: rgba(0,0,0,0) !important;
}
.block-container {
max-width: 1000px !important;
padding-top: 2rem !important;
margin: auto;
}
/* THE UNIFIED AI CARD - STITCHING LOGIC */
.hero-unit {
background-color: #050505;
border: 2px solid #58A6FF; /* Unified Glow Border */
border-bottom: none; /* Open bottom to merge */
border-radius: 24px 24px 0 0;
padding: 5rem 2rem 1.5rem 2rem;
text-align: center;
margin: 2rem auto 0 auto;
max-width: 850px !important;
box-shadow: 0 -10px 40px rgba(59, 130, 246, 0.1);
}
/* Target the Chat Input to physically merge with the div above */
[data-testid="stChatInput"] {
position: relative !important;
background-color: #050505 !important;
border: 2px solid #58A6FF !important;
border-top: none !important; /* Open top to merge */
border-radius: 0 0 24px 24px !important;
padding: 0 3rem 4rem 3rem !important;
margin: 0 auto !important; /* Center match */
max-width: 850px !important; /* Width match */
bottom: auto !important;
z-index: 10;
box-shadow: 0 20px 40px rgba(0, 0, 0, 0.9);
}
/* Target all internal wrappers from your HTML snippet */
[data-testid="stChatInput"] > div,
[data-testid="stChatInput"] div[class*="st-emotion-cache"] {
background-color: transparent !important;
border: none !important;
}
/* Remove the 'invisible gap' between Streamlit elements */
[data-testid="stVerticalBlock"] > div:has(div.hero-unit) + div {
margin-top: -1px !important;
}
/* THE TEXTAREA - ABSOLUTE BLACK */
[data-testid="stChatInputTextArea"] {
background-color: #000000 !important;
color: #FFFFFF !important;
-webkit-text-fill-color: #FFFFFF !important;
caret-color: #FFFFFF !important;
border: 1px solid #374151 !important;
border-radius: 12px !important;
}
/* THE SUBMIT BUTTON */
[data-testid="stChatInputSubmitButton"] {
background-color: #58A6FF !important;
border-radius: 50% !important;
}
[data-testid="stChatInputSubmitButton"] svg {
color: #000000 !important;
}
/* TYPOGRAPHY */
.main-header {
font-size: 3.5rem;
font-weight: 900;
color: #58A6FF;
margin-bottom: 0.5rem;
}
.sub-header {
font-size: 1.2rem;
color: #8B949E;
margin-bottom: 0;
}
/* CHAT MESSAGES */
[data-testid="stChatMessage"] {
background-color: #161B22 !important;
border: 1px solid #30363D !important;
margin-top: 1rem;
}
[data-testid="stChatMessage"] * {
color: #FFFFFF !important;
}
/* SIDEBAR - PURE BLACK */
[data-testid="stSidebar"] {
background-color: #000000 !important;
border-right: 1px solid #30363D;
}
[data-testid="stSidebar"] * {
color: #FFFFFF !important;
}
[data-testid="stSidebarCollapse"] svg {
color: #FFFFFF !important;
fill: #FFFFFF !important;
}
/* BUTTONS */
.stButton>button {
background-color: #21262D;
color: #FFFFFF;
border: 1px solid #30363D;
border-radius: 8px;
font-weight: 600;
height: 3em;
}
.stButton>button:hover {
border-color: #58A6FF;
}
.stChatInputContainer {
position: static !important;
background-color: transparent !important;
padding: 0 !important;
}
/* MOBILE RESPONSIVE */
@media (max-width: 768px) {
.main-header { font-size: 2rem; }
.sub-header { font-size: 1rem; }
.hero-unit, [data-testid="stChatInput"] { max-width: 95% !important; }
}
</style>
""", unsafe_allow_html=True)
# --- 3. MAIN UI STRUCTURE ---
st.markdown("""
<div class="hero-unit">
<h1 class="main-header">🧠 RAG Insight</h1>
<p class="sub-header">Professional Enterprise AI Document Intelligence</p>
</div>
""", unsafe_allow_html=True)
# Sidebar for Controls and Knowledge Base
with st.sidebar:
st.image("https://img.icons8.com/fluency/96/artificial-intelligence.png", width=80)
st.title("Knowledge Hub")
st.markdown("""
<div class="info-card">
<strong>Engine:</strong> Cohere Command-R<br>
<strong>Vector DB:</strong> Qdrant<br>
<strong>RAG Protocol:</strong> Enabled
</div>
""", unsafe_allow_html=True)
# Document Topic Section
st.subheader("📄 Current Context")
st.markdown("""
<div style="background-color: #21262D; padding: 10px; border-radius: 8px; border-left: 4px solid #58A6FF; margin-bottom: 15px;">
<span style="font-size: 0.9rem; color: #E0E0E0;">
<strong>Topic:</strong> employee handbook / Document Analysis<br>
<strong>Source:</strong> sample.pdf
</span>
</div>
""", unsafe_allow_html=True)
st.subheader("📁 Document Management")
# Pre-requisite Note
st.warning("⚠️ **Note:** Please 'Upload Docs' before asking questions to process the document embeddings.")
if st.button("Upload document"):
with st.spinner("Processing document embeddings..."):
try:
# Adding a small delay for UI feel
time.sleep(1)
response = requests.post("http://localhost:8000/ingest")
if response.status_code == 200:
st.success("✅ System ready! Document indexed.")
else:
st.error(f"❌ Initialization failed: {response.text}")
except Exception as e:
st.error(f"⚠️ Connection error: {e}")
st.divider()
with st.expander("🔍 How it works"):
st.write("""
1. **Context Ingestion:** Documents are parsed and converted into high-dimensional vectors.
2. **Neural Search:** Your questions are compared against the document database to find relevant matches.
3. **Guided Synthesis:** The AI generates an answer restricted solely to the retrieved context for maximum accuracy.
""")
# Chat Interface Logic
if "messages" not in st.session_state:
st.session_state.messages = []
# Display chat history with custom styling
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# User Interaction
if prompt := st.chat_input("Ask a question about your documents..."):
# Store user message
st.session_state.messages.append({"role": "user", "content": prompt})
with st.chat_message("user"):
st.markdown(prompt)
# Generate Response
with st.chat_message("assistant"):
message_placeholder = st.empty()
with st.spinner("Analyzing knowledge base..."):
try:
response = requests.post(
"http://localhost:8000/query",
json={"question": prompt}
)
if response.status_code == 200:
answer = response.json().get("answer", "I couldn't find a relevant answer in the provided documents.")
# Simulate typing effect for a better feel
full_response = ""
for chunk in answer.split():
full_response += chunk + " "
time.sleep(0.05)
message_placeholder.markdown(full_response + "▌")
message_placeholder.markdown(full_response)
st.session_state.messages.append({"role": "assistant", "content": full_response})
else:
st.error("The backend service is currently unreachable.")
except Exception as e:
st.error(f"An unexpected error occurred: {e}")
# Footer
st.markdown("---")
st.caption("Powered by Cohere and Qdrant • Developed for RAG Insights")
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