Upload 3 files

index.py

@@ -39,7 +39,7 @@ def reset_session_state():
 def start_registration():
     print("Starting registration...")
     try:
-        response = requests.post(f"{API_URL}/start_registration", timeout=60)
+        response = requests.post(f"{API_URL}/start_registration", timeout=0)
         response.raise_for_status()
         data = response.json()
         print("API Response:", data)
@@ -129,7 +129,7 @@ def main():
 
     # Tab 2: Registration Application
     with tab2:
-        st.subheader("Registration")
+        # st.subheader("Registration")
         registration_content = read_content_from_file("tab2.txt")
         st.markdown(registration_content)
         st.markdown("**Developed by [email protected]**")

tab1.txt

@@ -1,6 +1,6 @@
 Data quality issues have long plagued council databases, burdening W2 workflow teams (e.g. the Assisted Travel Team's dashboard I am working on), data analysts, and engineers with manual cleaning and validation. This pilot explores how AI-driven workflows can address these pain points by streamlining user registration, ensuring accurate data collection, and reducing validation overhead.
 
-* If "403 Client Error: Forbidden for url" error arises, it is because the backend server is being spinned up. Please stay patient and try refresh the page every 1 minute. It takes 1-3mins to spin up usually. 5mins is a outliner but it happens sometimes.
+* If "403 Client Error: Forbidden for url" error arises, it is because the backend server is being spinned up. Please stay patient and try refresh the page every 1 minute. It takes 1-3mins to spin up usually. 5mins above is a outliner but could happen.
 
 ### What is this Registration System?
 This application leverages **FastAPI**, **LangGraph**, and **AI validation** (**ChatGPT** with **Guardrails AI** and **dspy**) to collect user information (email, name, address, phone, username, password (included only a few for demo purpose)) with optional fields and real-time validation.  It uses real-time validation to enforce formats (e.g., addresses, phone numbers), minimizing errors and enhancing data integrity stored in a PostgreSQL database.