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Leonydis137 commited on
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d584940
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1 Parent(s): a23b6ce

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Files changed (5) hide show
  1. api.py +24 -1
  2. client_portal.html +12 -0
  3. dashboard.html +22 -0
  4. multi_agent.py +9 -9
  5. self_improve.py +9 -0
api.py CHANGED
@@ -29,4 +29,27 @@ if __name__ == "__main__":
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  uvicorn.run("api:app", host="0.0.0.0", port=7861)
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  from webhook import router as webhook_router
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- app.include_router(webhook_router)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  uvicorn.run("api:app", host="0.0.0.0", port=7861)
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  from webhook import router as webhook_router
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+ app.include_router(webhook_router)
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+
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+ from fastapi import Form
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+ from fastapi.responses import HTMLResponse
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+ from fastapi.staticfiles import StaticFiles
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+ from storage import save_goal
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+ from agent import run_agent
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+
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+ app.mount("/static", StaticFiles(directory="."), name="static")
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+
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+ @app.get("/portal", response_class=HTMLResponse)
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+ async def client_portal():
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+ with open("client_portal.html") as f:
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+ return f.read()
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+
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+ @app.post("/submit_task")
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+ async def submit_task(goal: str = Form(...)):
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+ save_goal(goal)
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+ return {"status": "submitted", "result": run_agent(goal)}
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+
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+ @app.get("/dashboard", response_class=HTMLResponse)
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+ async def dashboard():
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+ with open("dashboard.html") as f:
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+ return f.read()
client_portal.html ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ <!DOCTYPE html>
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+ <html>
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+ <head><title>Client Portal</title></head>
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+ <body>
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+ <h1>Submit a Task to the AI</h1>
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+ <form action="/submit_task" method="post">
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+ <input type="text" name="goal" placeholder="Enter your goal..." required />
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+ <button type="submit">Submit</button>
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+ </form>
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+ </body>
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+ </html>
dashboard.html ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ <!DOCTYPE html>
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+ <html>
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+ <head>
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+ <title>AI Task Analytics</title>
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+ <style>body { font-family: sans-serif; }</style>
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+ </head>
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+ <body>
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+ <h1>📊 Autonomous AI Analytics</h1>
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+ <div id="goals"></div>
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+ <div id="feedback"></div>
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+ <script>
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+ async function fetchData() {
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+ const g = await fetch("/goals").then(r => r.text());
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+ const f = await fetch("/feedback").then(r => r.text());
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+ document.getElementById('goals').innerHTML = "<h2>Goals:</h2><pre>" + g + "</pre>";
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+ document.getElementById('feedback').innerHTML = "<h2>Feedback:</h2><pre>" + f + "</pre>";
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+ }
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+ fetchData();
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+ </script>
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+ </body>
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+ </html>
multi_agent.py CHANGED
@@ -1,11 +1,11 @@
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- import random
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- def multi_agent_brain(task):
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- agents = [agent1, agent2, agent3]
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- results = [a(task) for a in agents]
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- return f"🤝 Multiple agents responded:\n" + "\n---\n".join(results)
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-
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- def agent1(task): return f"Agent Alpha completed: {task.upper()}"
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- def agent2(task): return f"Agent Beta handled: {task[::-1]}"
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- def agent3(task): return f"Agent Gamma response: {task.lower()}"
 
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+ from agent import run_agent
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+ def run_multi_agent_session(goal):
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+ print("Agent 1: Interpreting goal")
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+ result1 = run_agent(goal)
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+ print("Agent 2: Verifying output")
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+ result2 = run_agent(f"Evaluate and verify this result: {result1}")
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+ print("Agent 3: Proposing improvements")
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+ result3 = run_agent(f"Improve this: {result1}")
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+ return result1, result2, result3
self_improve.py ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
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+
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+ from agent import run_agent, codebase_path
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+ from logger import logger
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+
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+ def self_improve():
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+ logger.info("🔁 Self-improvement cycle started")
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+ feedback = run_agent("Review and improve your own code.")
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+ # Here we could add LLM logic to diff + rewrite source code
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+ logger.info(f"Self-feedback: {feedback}")