Upload 2 files

app.py

@@ -8,7 +8,6 @@ import os, uuid
 from memory import MemoryVectorStore
 from auth import authorize
 from session import init_session_db, create_session, log_interaction, get_session_logs
-from diagnostics import run_diagnostics
 
 import gradio as gr
 from sentence_transformers import SentenceTransformer
@@ -20,32 +19,25 @@ index = faiss.IndexFlatL2(384)
 memory_text = []
 
 def autonomous_agent(input_text):
-    try:
-        vec = model.encode([input_text])
-        index.add(vec)
-        memory_text.append(input_text)
+    vec = model.encode([input_text])
+    index.add(vec)
+    memory_text.append(input_text)
 
-        if index.ntotal > 1:
-            D, I = index.search(vec, k=2)
-            related = memory_text[I[0][1]]
-            response = f"🧠 Memory Match: {related}
-🤖 Working on: {input_text}"
-        else:
-            response = f"🤖 Received: {input_text}
-🧠 No prior memory yet."
-
-    except Exception as e:
-        diag = run_diagnostics()
-        response = f"❌ Error: {str(e)}
-🛠️ Diagnostics: {diag['status']}"
+    if index.ntotal > 1:
+        D, I = index.search(vec, k=2)
+        related = memory_text[I[0][1]]
+        response = f"🧠 Memory Match: {related}\n🤖 Working on: {input_text}"
+    else:
+        response = f"🤖 Received: {input_text}\n🧠 No prior memory yet."
 
     return response
 
 ui = gr.Interface(fn=autonomous_agent, inputs="text", outputs="text", title="Autonomous AI Agent", description="Self-enhancing chatbot with vector memory.")
-ui.launch()
+ui.launch(share=False, inbrowser=False)
 
 app = FastAPI()
 memory = MemoryVectorStore()
+
 init_session_db()
 
 app.add_middleware(
@@ -67,8 +59,7 @@ async def session_task(request: Request, x_api_key: str = Header(...)):
     session_id = data.get("session_id", create_session(user))
     memory.add(goal)
     ideas = memory.search(goal)
-    diag = run_diagnostics()
-    result = f"[Goal]: {goal}\n[Related]: {ideas}\n[Response]: 🚧 working on it...\n🛠️ System Status: {diag['status']}"
+    result = f"[Goal]: {goal}\n[Related]: {ideas}\n[Response]: 🚧 working on it..."
     memory.add(result)
     log_interaction(session_id, goal, result)
     return {"session_id": session_id, "output": result}
@@ -77,8 +68,4 @@ async def session_task(request: Request, x_api_key: str = Header(...)):
 def logs(sid: str):
     return get_session_logs(sid)
 
-@app.get("/diagnostics")
-async def diagnostics():
-    return run_diagnostics()
-
 app.mount("/static", StaticFiles(directory="static"), name="static")

self_update.py

@@ -0,0 +1,30 @@
+
+import os
+import importlib.util
+import requests
+
+REPO_RAW_URL = "https://raw.githubusercontent.com/Leonydis137/Autonomous-AI/main/"  # adjust if needed
+
+def download_file(filename):
+    url = REPO_RAW_URL + filename
+    response = requests.get(url)
+    if response.status_code == 200:
+        with open(filename, "w", encoding='utf-8') as f:
+            f.write(response.text)
+        return f"✅ Updated {filename}"
+    else:
+        return f"❌ Failed to fetch {filename}"
+
+def self_update():
+    core_files = ["app.py", "memory.py", "diagnostics.py"]
+    results = [download_file(f) for f in core_files]
+    return {"status": "🔁 Update check complete", "results": results}
+
+def apply_hot_reload():
+    files = ["diagnostics", "memory"]
+    reloaded = []
+    for mod_name in files:
+        if mod_name in globals():
+            importlib.reload(globals()[mod_name])
+            reloaded.append(mod_name)
+    return {"hot_reload": reloaded}