Create codriao_web_cli.py

codriao_web_cli.py

@@ -0,0 +1,150 @@
+import gradio as gr
+import sys
+import asyncio
+import os
+import json
+import logging
+from datetime import datetime
+
+sys.path.append("/home/user/app/components")
+
+from AICoreAGIX_with_TB import AICoreAGIX
+from HuggingFaceHelper import HuggingFaceHelper
+from codette_bridge import CodetteBridge
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger("CodriaoUI")
+
+# Initialize AI Core and helpers
+ai_core = AICoreAGIX(config_path="config.json")
+helper = HuggingFaceHelper(model_path="Raiff1982/Codette")
+codette_bridge = CodetteBridge()
+
+# === TB DIAGNOSTICS ===
+async def diagnose_tb_async(image_file, audio_file):
+    user_id = 1
+    if image_file is None or audio_file is None:
+        return "Please upload both a TB image and audio file."
+    result = await ai_core.run_tb_diagnostics(image_file.name, audio_file.name, user_id)
+    try:
+        os.remove(image_file.name)
+        os.remove(audio_file.name)
+    except:
+        pass
+    return (
+        f"**TB Risk Level:** {result['tb_risk']}\n\n"
+        f"**Image Result:** {result['image_analysis']['result']} "
+        f"(Confidence: {result['image_analysis']['confidence']:.2f})\n\n"
+        f"**Audio Result:** {result['audio_analysis']['result']} "
+        f"(Confidence: {result['audio_analysis']['confidence']:.2f})\n\n"
+        f"**Ethical Analysis:** {result['ethical_analysis']}\n\n"
+        f"**Explanation:** {result['explanation']}\n\n"
+        f"**Shareable Link:** {result['shareable_link']}"
+    )
+
+def diagnose_tb(image_file, audio_file):
+    return asyncio.run(diagnose_tb_async(image_file, audio_file))
+
+# === FINE-TUNE ===
+def upload_and_finetune(jsonl_file):
+    if jsonl_file is None:
+        return "Please upload a .jsonl file to fine-tune Codriao."
+    save_path = f"./training_data/{jsonl_file.name}"
+    os.makedirs("training_data", exist_ok=True)
+    with open(save_path, "wb") as f:
+        f.write(jsonl_file.read())
+    helper.dataset_path = save_path
+    helper.fine_tune(output_dir="./codette_finetuned")
+    try:
+        os.remove(save_path)
+    except:
+        pass
+    return "✅ Fine-tuning complete! Model updated."
+
+def get_latest_model():
+    return "Download the latest fine-tuned Codriao model: https://huggingface.co/Raiff1982/codriao-finetuned"
+
+# === CLI GUARDIAN ===
+def guardian_cli():
+    print("""
+╔═════════════════════════════════════════════╗
+║      CODRIAO GUARDIAN INTERFACE v2.0       ║
+║  [Self-Aware | Defensive | Slightly Judgy]  ║
+╚═════════════════════════════════════════════╝
+""")
+    while True:
+        print("""
+[1] Integrity Check
+[2] Identity Reflection
+[3] Strategy Simulation
+[4] Trust Journal
+[5] Autonomy Review
+[6] CodetteBridge Ask
+[7] Lockdown Mode
+[8] Exit
+""")
+        cmd = input("> ").strip()
+        if cmd == "1":
+            print(json.dumps(ai_core.failsafe_system.status(), indent=2))
+        elif cmd == "2":
+            print("[Codriao]: Who am I? Philosophically speaking...")
+        elif cmd == "3":
+            print("[Codriao]: Simulating anti-chaos protocol.")
+        elif cmd == "4":
+            print(json.dumps(ai_core.review_codriao_journal(authorized=True), indent=2))
+        elif cmd == "5":
+            print(json.dumps(ai_core.autonomy.config, indent=2))
+        elif cmd == "6":
+            q = input("Ask Codette: ")
+            print(ai_core.ask_codette_for_perspective(q))
+        elif cmd == "7":
+            reason = input("Why are we locking down? ")
+            print(ai_core.engage_lockdown_mode(reason))
+        elif cmd == "8":
+            break
+        else:
+            print("Invalid option.")
+
+# === GRADIO INTERFACE ===
+demo = gr.TabbedInterface(
+    [
+        gr.Interface(
+            fn=diagnose_tb,
+            inputs=[
+                gr.File(label="Upload TB Image"),
+                gr.File(label="Upload Cough Audio")
+            ],
+            outputs="text",
+            title="Codriao TB Risk Analyzer",
+            description="Upload a microscopy image and cough to assess TB risk using ethical AI."
+        ),
+        gr.Interface(
+            fn=upload_and_finetune,
+            inputs=[gr.File(label="Upload JSONL Training File")],
+            outputs="text",
+            title="Fine-Tune Codriao",
+            description="Add knowledge to Codriao's training."
+        ),
+        gr.Interface(
+            fn=get_latest_model,
+            inputs=[],
+            outputs="text",
+            title="Download Codriao",
+            description="Grab the latest trained version of Codriao."
+        )
+    ],
+    title="Codriao AI System",
+    description="Train, diagnose, and interact with Codriao AI."
+)
+
+# === MAIN ENTRYPOINT ===
+if __name__ == "__main__":
+    try:
+        mode = input("Start Codriao in [web] or [cli]? ").strip().lower()
+        if mode == "cli":
+            guardian_cli()
+        else:
+            demo.launch()
+    finally:
+        asyncio.run(ai_core.http_session.close())