Adding images

app.py

@@ -133,8 +133,6 @@ async def api_login_status(request: Request):
         return {"status": "Logged out"}
 
 
-_logo_bytes = open("HASHIRU_LOGO.png", "rb").read()
-_logo_b64 = base64.b64encode(_logo_bytes).decode()
 _header_html = f"""
 <div style="
     display: flex;
@@ -142,7 +140,7 @@ _header_html = f"""
     align-items: center;
     justify-content: flex-start;
 ">
-  <img src="data:image/png;base64,{_logo_b64}" width="40" class="logo"/>
+  <img src="https://media.githubusercontent.com/media/HASHIRU-AI/HASHIRU/refs/heads/main/HASHIRU_LOGO.png" width="40" class="logo"/>
   <h1>
     HASHIRU AI
   </h1>
@@ -213,7 +211,8 @@ with gr.Blocks(title="HASHIRU AI", css=css, fill_width=True, fill_height=True) a
                     fn=update_model, inputs=model_dropdown, outputs=[])
         with gr.Row(scale=1):
             chatbot = gr.Chatbot(
-                avatar_images=("HASHIRU_2.png", "HASHIRU.png"),
+                avatar_images=("https://media.githubusercontent.com/media/HASHIRU-AI/HASHIRU/refs/heads/main/HASHIRU_2.png", 
+                               "https://media.githubusercontent.com/media/HASHIRU-AI/HASHIRU/refs/heads/main/HASHIRU.png"),
                 type="messages",
                 show_copy_button=True,
                 editable="user",

src/manager/config/model_selector.py

@@ -1,19 +0,0 @@
-from src.manager.utils.runtime_selector import detect_runtime_environment
-from src.cost_benefit import get_best_model
-import os
-from dotenv import load_dotenv
-load_dotenv()
-
-def choose_best_model(return_full=False):
-    env = detect_runtime_environment()
-    print(f"[INFO] Runtime Environment: {env}")
-
-    result = get_best_model(env)
-
-    if not result.get("model"):
-        print("[WARN] No model found under budget — using fallback.")
-        fallback_model = "gemini-2.0-flash" if os.getenv("GEMINI_KEY") else "llama3.2"
-        return {"model": fallback_model} if return_full else fallback_model
-
-    print(f"[INFO] Auto-selected model: {result['model']} (token cost: {result['token_cost']}, tokens/sec: {result['tokens_sec']})")
-    return result if return_full else result["model"]