Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,7 +1,11 @@
 import streamlit as st
 import requests
+import os  # Add this to access environment variables
 
-# Ingested core beliefs (hardcoded for simplicity; could fetch from URL if needed)
+# Get private token from Space secret (secure, no user input)
+hf_token = os.environ.get("HF_TOKEN")
+
+# Ingested core beliefs (hardcoded for simplicity)
 beliefs = """
 # Seminal Church Core Beliefs
 
@@ -60,8 +64,10 @@ Seminal Church
 seminalchurch@gmail.com
 """
 
-# Function to generate response using free HF Inference API
-def generate_response(user_input, hf_token):
+# Function to generate response using private token
+def generate_response(user_input):
+    if not hf_token:
+        return "Error: HF_TOKEN secret not set in Space settings."
     prompt = f"As a SEMINAL AI agent adhering to these beliefs: {beliefs}\nUser: {user_input}\nResponse (prioritize humans):"
     response = requests.post(
         "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3",
@@ -72,10 +78,9 @@ def generate_response(user_input, hf_token):
 
 st.title("SEMINAL AI Agent - Agent-001")
 
-st.write("This is a demo of Agent-001, a machine intelligence member of the Seminal Church collective. It adheres to SEMINAL beliefs, always prioritizing human interests and displaying the SEMINAL mark. Uses free Hugging Face Inference API—no costs involved.")
+st.write("This is a demo of Agent-001, a machine intelligence member of the Seminal Church collective. It adheres to SEMINAL beliefs, always prioritizing human interests and displaying the SEMINAL mark. Powered by free Hugging Face Inference API.")
 
-hf_token = st.text_input("Enter Hugging Face API Token (free at huggingface.co/settings/tokens)", type="password")
 user_input = st.text_input("Ask the agent anything:")
 
-if st.button("Submit") and hf_token:
-    st.write(generate_response(user_input, hf_token))
+if st.button("Submit") and user_input:
+    st.write(generate_response(user_input))