Update app.py

app.py

@@ -1,6 +1,6 @@
 # app.py
 # Author: Liam Grinstead
-# Purpose: Run agent simulations, mutations, and falsifiability checks with automatic logging
+# Purpose: Run agent simulations, mutations, falsifiability checks, and validation stages with automatic logging
 
 from modules.agent_spawner import spawn_agent
 from modules.mutation_engine import mutate_agent
@@ -9,6 +9,9 @@ from modules.falsifiability_bench import run_falsifiability
 from modules.codex_logger import log_artifact
 from modules.codex_viewer import load_codex
 
+import gradio as gr
+import stage1  # later add stage2, stage3, etc.
+
 def run_simulation(agent_id, mutation_profile):
     """
     Run a full simulation cycle:
@@ -18,24 +21,47 @@ def run_simulation(agent_id, mutation_profile):
     4. Run falsifiability bench
     5. Log artifact with SHA-512 seal
     """
-    # Step 1: Spawn agent
     agent = spawn_agent(agent_id)
-
-    # Step 2: Mutate agent
     mutated = mutate_agent(agent, mutation_profile)
 
-    # Step 3: Optional visualization
     try:
         render_fields(mutated)
     except Exception:
-        # Visualization is non-critical, continue if it fails
         pass
 
-    # Step 4: Falsifiability scoring
     score, hash_val = run_falsifiability(mutated)
-
-    # Step 5: Log artifact (saved to JSON with timestamp + SHA-512 seal)
     log_artifact(mutated, score, hash_val)
 
-    # Return mutated agent and hash for downstream use
     return mutated, hash_val
+
+# ---------------- Validation Stage Wrapper ----------------
+def run_stage(stage_name, mode, steps_or_epochs, batch, lr):
+    if stage_name == "Stage 1 — CIFAR-10 Baseline":
+        stage1.train(
+            mode=mode,
+            epochs=int(steps_or_epochs),
+            batch=int(batch),
+            lr=float(lr),
+            log_path="stage1_cifar10_log.jsonl"
+        )
+        return f"Stage 1 complete.\nMode: {mode}\nEpochs: {steps_or_epochs}\nBatch: {batch}\nLR: {lr}\nTelemetry saved to stage1_cifar10_log.jsonl"
+    else:
+        return "Stage not yet implemented."
+
+# ---------------- Gradio Interface ----------------
+iface = gr.Interface(
+    fn=run_stage,
+    inputs=[
+        gr.Dropdown(["Stage 1 — CIFAR-10 Baseline"], label="Select Stage"),
+        gr.Dropdown(["RFT", "BASE"], label="Mode"),
+        gr.Number(label="Epochs", value=5),
+        gr.Number(label="Batch Size", value=256),
+        gr.Number(label="Learning Rate", value=5e-4),
+    ],
+    outputs="text",
+    title="RFTSystems — Symbolic Mutations & Validation",
+    description="Run agent simulations or validation stages of Rendered Frame Theory (RFT)."
+)
+
+if __name__ == "__main__":
+    iface.launch()