Update app.py

Remove the check for secret key

app.py

@@ -146,21 +146,11 @@ def update_metrics(placeholder):
 with st.sidebar:
     st.header("🔐 Authentication")
     
-    # 1. SAFELY Check Secrets (Prevents FileNotFoundError)
-    try:
-        # We wrap this in a try-except because accessing st.secrets
-        # throws an error if the secrets.toml file doesn't exist at all.
-        if "GROQ_API_KEY" in st.secrets:
-            st.session_state['groq_api_key'] = st.secrets["GROQ_API_KEY"]
-            st.session_state['is_key_valid'] = True
-    except (FileNotFoundError, Exception):
-        # If secrets file is missing, ignore it and fall back to manual entry
-        pass
-
-    # 2. Manual Entry Logic
+    # Initialize Session State for Key
     if 'is_key_valid' not in st.session_state:
         st.session_state['is_key_valid'] = False
 
+    # MANUAL ENTRY ONLY (No Secret Check)
     if not st.session_state['is_key_valid']:
         api_key_input = st.text_input("Enter Groq API Key", type="password", key="input_key")
         if st.button("Validate API Key"):
@@ -295,7 +285,12 @@ if st.session_state.get('is_key_valid', False):
                 2. USE: Score: {sim_score}, Status: {sim_status}
                 3. Query 'get_account_status' ONLY for Name/Nationality.
                 4. Consult Policy Docs for risk/rates.
-                5. Output Final Report table + Justification.
+                5. Provide a Final Recommendation Report that MUST include:
+                   - Customer Name, ID, Email
+                   - Risk Level, Interest Rate
+                   - Final Decision (Approve/Reject)
+                   - Justification for Decision (Cite specific PDF policies)
+                   - Format in a clear markdown table.
                 """
             else:
                 query = f"""
@@ -303,7 +298,12 @@ if st.session_state.get('is_key_valid', False):
                 1. Query SQL tools for Name, Email, Nationality, Status, Score.
                 2. IF Nationality is 'Singaporean', SKIP 'check_pr_status'.
                 3. Consult Policy Docs for risk/rates.
-                4. Output Final Report table + Justification.
+                4.  Provide a Final Recommendation Report that MUST include:
+                   - Customer Name, ID, Email
+                   - Risk Level, Interest Rate
+                   - Final Decision (Approve/Reject)
+                   - Justification for Decision (Cite specific PDF policies)
+                   - Format in a clear markdown table.
                 """
             
             with st.status("🤖 Agent is processing...", expanded=True) as status: