Fix styling with latest black version

Author: iamAyushSaxena

app/streamlit_app.py

@@ -272,8 +272,7 @@ def load_data():
     st.markdown(
         '<p class="sub-header">📋 Problem Statement</p>', unsafe_allow_html=True
     )
-    st.markdown(
-        """
+    st.markdown("""
     Knowledge workers (academic researchers, PhD students, consultants, journalists) struggle to 
     synthesize information from multiple sources. They collect hundreds of articles, papers, and notes 
     but lack tools to connect insights across sources and resurface relevant knowledge when needed.
@@ -282,8 +281,7 @@ def load_data():
     - Add AI to existing workflows without redesigning UX (incremental, not transformative)
     - Target everyone, failing to solve specific workflows deeply (horizontal, not vertical)
     - Focus on individual note-taking rather than research synthesis (features, not jobs-to-be-done)
-    """
-    )
+    """)
 
     # Opportunity
     st.markdown("")
@@ -292,8 +290,7 @@ def load_data():
     col1, col2 = st.columns(2)
 
     with col1:
-        st.markdown(
-            """
+        st.markdown("""
         **Market Gap:**
         - 7 major competitors, all horizontal platforms
         - No vertical specialist for research synthesis
@@ -304,12 +301,10 @@ def load_data():
         - Cross-source synthesis (unique value)
         - Academic database integration
         - Research knowledge graph (switching costs)
-        """
-        )
+        """)
 
     with col2:
-        st.markdown(
-            """
+        st.markdown("""
         **Business Model:**
         - Freemium: 50 documents free
         - Pro: $15/month (individual researchers)
@@ -320,8 +315,7 @@ def load_data():
         - CAC: $35 (blended across channels)
         - Payback: 3.3 months
         - Gross Margin: 70%
-        """
-        )
+        """)
 
     # Strategic Insight
     st.markdown(
@@ -351,8 +345,7 @@ def load_data():
     )
 
     with tab1:
-        st.markdown(
-            """
+        st.markdown("""
         **Goals:**
         - Recruit 100 beta users (academic researchers)
         - Achieve 40% Day-7 activation
@@ -366,12 +359,10 @@ def load_data():
         - Rapid iteration (2 updates/week)
         
         **Budget:** $5,000
-        """
-        )
+        """)
 
     with tab2:
-        st.markdown(
-            """
+        st.markdown("""
         **Goals:**
         - Product Hunt #1 Product of the Day
         - 1,000 sign-ups in first week
@@ -385,12 +376,10 @@ def load_data():
         - Reddit AMAs
         
         **Budget:** $15,000
-        """
-        )
+        """)
 
     with tab3:
-        st.markdown(
-            """
+        st.markdown("""
         **Goals:**
         - 5,000 total users
         - 10% free-to-paid conversion
@@ -404,8 +393,7 @@ def load_data():
         - Conference presence
         
         **Budget:** $30,000
-        """
-        )
+        """)
 
 elif selected_page == "Market Opportunity":
     st.markdown(
@@ -432,8 +420,7 @@ def load_data():
         st.plotly_chart(fig, use_container_width=True)
 
     with col2:
-        st.markdown(
-            f"""
+        st.markdown(f"""
         **TAM (Total Addressable Market)**
         - {MARKET_SIZE['tam']['size']:,} global knowledge workers
         - Source: {MARKET_SIZE['tam']['source']}
@@ -454,8 +441,7 @@ def load_data():
         - {int(MARKET_SIZE['som']['size'] * 0.10):,} paying customers
         - ${int(MARKET_SIZE['som']['size'] * 0.10 * 15):,} MRR
         - **${int(MARKET_SIZE['som']['size'] * 0.10 * 15 * 12 / 1_000_000)}M ARR**
-        """
-        )
+        """)
 
     st.markdown("---")
 
@@ -625,8 +611,7 @@ def load_data():
     col1, col2, col3 = st.columns(3)
 
     with col1:
-        st.markdown(
-            """
+        st.markdown("""
         ### FREE
         **$0/month**
         
@@ -641,12 +626,10 @@ def load_data():
         
         ---
         **Target:** Students, explorers
-        """
-        )
+        """)
 
     with col2:
-        st.markdown(
-            """
+        st.markdown("""
         ### PRO ⭐
         **$15/month**
         
@@ -662,12 +645,10 @@ def load_data():
         ---
         **Target:** PhD students, researchers  
         **Save 20%:** $144/year
-        """
-        )
+        """)
 
     with col3:
-        st.markdown(
-            """
+        st.markdown("""
         ### TEAM
         **$30/user/month**
         
@@ -683,8 +664,7 @@ def load_data():
         ---
         **Target:** Research labs  
         **Save 20%:** $288/year
-        """
-        )
+        """)
 
     st.markdown("---")
 
@@ -762,14 +742,12 @@ def load_data():
 
     st.plotly_chart(fig, use_container_width=True)
 
-    st.markdown(
-        """
+    st.markdown("""
     **Pricing Positioning:**
     - **25% premium** vs. average generalist tool ($12)
     - **Justified by vertical value:** Save $1,875/month in researcher time
     - **ROI:** $15 cost → $1,875 value = **125x ROI**
-    """
-    )
+    """)
 
     #    st.markdown("---")
 
@@ -964,32 +942,26 @@ def load_data():
         st.markdown("### 📝 Spending Breakdown")
 
         # Create a clean visual list using st.info or markdown
-        st.info(
-            """
+        st.info("""
         **Month 1: Foundation ($5k)**
         - Server Infrastructure setup
         - Initial Content Creation
         - Community Launch events
-        """
-        )
+        """)
 
-        st.info(
-            """
+        st.info("""
         **Month 2: Validation ($15k)**
         - Google Ads testing
         - Influencer partnerships
         - SEO tooling & backlinks
-        """
-        )
+        """)
 
-        st.info(
-            """
+        st.info("""
         **Month 3: Scaling ($30k)**
         - Aggressive retargeting
         - Affiliate program launch
         - Sales team commisions
-        """
-        )
+        """)
 
     # Channel Strategy
     st.markdown(
@@ -1323,8 +1295,7 @@ def create_milestone_card(month, phase, data):
     col1, col2 = st.columns(2)
 
     with col1:
-        st.markdown(
-            """
+        st.markdown("""
         **Market Position:**
         - ✅ White space in Specialist Individual quadrant
         - ✅ 2 competitors vs. 5 in generalist space
@@ -1336,12 +1307,10 @@ def create_milestone_card(month, phase, data):
         - Academic database integration (10/10 vs 0-4)
         - Citation management (10/10 vs 0-5)
         - Knowledge graph visualization (9/10 vs 3-10)
-        """
-        )
+        """)
 
     with col2:
-        st.markdown(
-            """
+        st.markdown("""
         **Business Model Health:**
         - ✅ LTV/CAC: 7.2x (Target: >3.0x)
         - ✅ Payback: 3.3 months (Target: <12mo)
@@ -1353,8 +1322,7 @@ def create_milestone_card(month, phase, data):
         - 500 paying customers (10% conversion)
         - $7,500 MRR ($90K ARR)
         - Break-even: Month 9 projected
-        """
-        )
+        """)
 
     #    st.markdown("---")
 
@@ -1386,8 +1354,6 @@ def create_milestone_card(month, phase, data):
         <p>Built with Python, Streamlit, Pandas, NumPy, Plotly, Matplotlib & Seaborn <strong>| Last Updated:</strong> {}</p>
         <p>© 2026 <strong>Ayush Saxena</strong>. All rights reserved.</p>
     </div>
-""".format(
-        datetime.now().strftime("%d-%b-%Y At %I:%M %p")
-    ),
+""".format(datetime.now().strftime("%d-%b-%Y At %I:%M %p")),
     unsafe_allow_html=True,
 )