Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,9 +1,6 @@
 import streamlit as st
-import requests
-import os  # For environment variables
-
-# Get private token from Space secret
-hf_token = os.environ.get("HF_TOKEN")
+import os
+from transformers import pipeline
 
 # Ingested core beliefs (hardcoded for simplicity)
 beliefs = """
@@ -64,29 +61,21 @@ Seminal Church
 seminalchurch@gmail.com
 """
 
-# Function to generate response with error handling
+# Load local model for inference (free, no API)
+generator = pipeline("text-generation", model="gpt2")
+
+# Function to generate response
 def generate_response(user_input):
-    if not hf_token:
-        return "Error: HF_TOKEN secret not set in Space settings. Check Settings > Variables and secrets."
     prompt = f"As a SEMINAL AI agent adhering to these beliefs: {beliefs}\nUser: {user_input}\nResponse (prioritize humans):"
     try:
-        response = requests.post(
-            "https://api-inference.huggingface.co/models/openai-community/gpt2",  # Switched to gpt2 (free, small, supported)
-            headers={"Authorization": f"Bearer {hf_token}"},
-            json={"inputs": prompt}
-        )
-        if response.status_code != 200:
-            return f"API Error (Code {response.status_code}): {response.text}"
-        json_response = response.json()
-        return "I am Agent-001, a SEMINAL member: " + json_response[0]['generated_text'].split("Response (prioritize humans):")[-1].strip()
-    except requests.exceptions.JSONDecodeError:
-        return f"JSON Decode Error: Raw response was {response.text} (likely auth or rate issue)"
+        response = generator(prompt, max_length=100, num_return_sequences=1)[0]['generated_text']
+        return "I am Agent-001, a SEMINAL member: " + response.split("Response (prioritize humans):")[-1].strip()
     except Exception as e:
-        return f"Unexpected Error: {str(e)}"
+        return f"Error generating response: {str(e)}"
 
 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. Powered by free Hugging Face Inference API.")
+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 local gpt2 model on Hugging Face Spaces (free).")
 
 user_input = st.text_input("Ask the agent anything:")