Update app.py

app.py

@@ -32,7 +32,7 @@ def save_data_json(data):
 
 # Streamlit UI
 def main():
-    st.title("Visionary AI  by Giant Analytics")
+    st.title("Visionary AI by Giant Analytics")
     st.write("Fill in the details to generate an AI-driven business strategy report.")
     st.write("It uses SOTA (State-of-the-Art) Reasoning Models to provide cutting-edge insights and AI integration strategies.")
     
@@ -51,42 +51,57 @@ def main():
     input_method = st.radio("How would you like to provide company details?", 
                             ("Search by Name", "Website URL", "Manual Description", "Upload Document"))
     
+    progress_bar = st.progress(0)
+    
     if input_method == "Search by Name":
         if st.button("Find Company Details"):
+            progress_bar.progress(10)
             st.session_state.company_data = search_company(company_name)
-            st.experimental_rerun()
+            progress_bar.progress(30)
+            st.rerun()
     elif input_method == "Website URL":
         website_url = st.text_input("Enter Website URL")
         if st.button("Scrape Website"):
+            progress_bar.progress(10)
             st.session_state.company_data = scrape_website(website_url)
-            st.experimental_rerun()
+            progress_bar.progress(30)
+            st.rerun()
     elif input_method == "Manual Description":
         company_data_input = st.text_area("Enter Company Description")
         if st.button("Process Description"):
+            progress_bar.progress(10)
             st.session_state.company_data = process_company_description(company_data_input)
-            st.experimental_rerun()
+            progress_bar.progress(30)
+            st.rerun()
     elif input_method == "Upload Document":
         uploaded_file = st.file_uploader("Upload PDF or PPT", type=["pdf", "pptx"])
         if uploaded_file is not None:
+            progress_bar.progress(10)
             st.session_state.company_data = process_uploaded_document(uploaded_file)
-            st.experimental_rerun()
+            progress_bar.progress(30)
+            st.rerun()
     
     if st.session_state.company_data:
         st.subheader("Extracted Company Information")
         st.write(st.session_state.company_data)
+        progress_bar.progress(50)
         
         industry = st.text_input("Industry Type (e.g., Healthcare, Finance)")
         if st.button("Analyze Industry Trends"):
+            progress_bar.progress(60)
             st.session_state.industry_trends = get_industry_trends(industry)
-            st.experimental_rerun()
+            progress_bar.progress(70)
+            st.rerun()
         
         if st.session_state.industry_trends:
             st.subheader("Industry Trends")
             st.write(st.session_state.industry_trends)
             
         if st.button("Find AI Use Cases"):
+            progress_bar.progress(75)
             st.session_state.ai_use_cases = get_ai_use_cases(industry)
-            st.experimental_rerun()
+            progress_bar.progress(80)
+            st.rerun()
         
         if st.session_state.ai_use_cases:
             st.subheader("AI Use Cases")
@@ -94,49 +109,25 @@ def main():
             
         competitor = st.text_input("Enter Competitor Name")
         if st.button("Analyze Competitor AI Strategies"):
+            progress_bar.progress(85)
             st.session_state.competitor_analysis = get_competitor_ai_strategies(competitor)
-            st.experimental_rerun()
+            progress_bar.progress(90)
+            st.rerun()
         
         if st.session_state.competitor_analysis:
             st.subheader("Competitor AI Strategies")
             st.write(st.session_state.competitor_analysis)
         
         if st.button("Generate AI Strategy"):
+            progress_bar.progress(95)
             st.session_state.ai_strategy = generate_ai_strategy(
                 st.session_state.company_data, st.session_state.industry_trends,
                 st.session_state.ai_use_cases, st.session_state.competitor_analysis)
-            st.experimental_rerun()
-        
-        if st.session_state.ai_strategy:
-            st.subheader("AI Strategy")
-            st.write(st.session_state.ai_strategy)
-            
-        if st.button("Suggest AI Integration Plan"):
-            st.session_state.ai_integration = suggest_ai_integration(
-                st.session_state.company_data, st.session_state.ai_strategy)
-            st.experimental_rerun()
-        
-        if st.session_state.ai_integration:
-            st.subheader("AI Integration Plan")
-            st.write(st.session_state.ai_integration)
-            
-        if st.button("Identify Revenue Growth Opportunities"):
-            st.session_state.revenue_opportunities = identify_revenue_opportunities(
-                st.session_state.company_data, st.session_state.ai_strategy)
-            st.experimental_rerun()
-        
-        if st.session_state.revenue_opportunities:
-            st.subheader("Revenue Growth Opportunities")
-            st.write(st.session_state.revenue_opportunities)
-            
-        if st.button("Generate Final Report"):
-            report_filename = generate_report(
-                company_name, st.session_state.ai_strategy, st.session_state.ai_integration, 
-                st.session_state.revenue_opportunities)
-            st.success(f"Report Generated: {report_filename}")
-        
+            progress_bar.progress(100)
+            st.rerun()
+    
     st.markdown("---")
-    st.markdown("**Developed by Aditya Ghadge for Giant Analytics**")
+    st.markdown("**Developed by [Aditya Ghadge](https://www.linkedin.com/in/aditya-ghadge-a82b30240/) for Giant Analytics**")
 
 if __name__ == "__main__":
     main()