Update app.py

app.py

@@ -62,7 +62,7 @@ def init_model(state):
     """Callback function for the Load button"""
     try:
         if state.get("llm") is not None:
-            return "✅ System Ready (Model Loaded)", state
+            return " System Ready (Model Loaded)", state
         
         log("Received load request...")
         # Download and load
@@ -72,17 +72,17 @@ def init_model(state):
         state["llm"] = llm
         state["gguf_path"] = gguf_path
         
-        return "✅ System Ready", state
+        return " System Ready", state
     except Exception as exc:
         tb = traceback.format_exc()
         log(f"Initialization Error: {exc}\n{tb}")
-        return f"❌ Initialization Failed: {exc}", state
+        return f" Initialization Failed: {exc}", state
 
 def generate_response(prompt: str, max_tokens: int, state):
     """Callback function for the Generate button"""
     try:
         if not prompt or prompt.strip() == "":
-            return "⚠️ Please enter an instruction.", "⚠️ Idle", state
+            return " Please enter an instruction.", " Idle", state
         
         # Lazy loading: attempt to auto-load if Generate is clicked without explicit initialization
         if state.get("llm") is None:
@@ -92,7 +92,7 @@ def generate_response(prompt: str, max_tokens: int, state):
                 state["llm"] = llm
                 state["gguf_path"] = gguf_path
             except Exception as e:
-                return f"❌ Model Load Failed: {e}", f"❌ Error", state
+                return f" Model Load Failed: {e}", f" Error", state
         
         llm = state.get("llm")
         
@@ -115,15 +115,15 @@ def generate_response(prompt: str, max_tokens: int, state):
         
         text = output['choices'][0]['text']
         log("Generation complete.")
-        return text, "✅ Generation Complete", state
+        return text, " Generation Complete", state
     except Exception as exc:
         tb = traceback.format_exc()
         log(f"Generation Error: {exc}\n{tb}")
-        return f"Runtime Error: {exc}", f"❌ Exception", state
+        return f"Runtime Error: {exc}", f" Exception", state
 
 def soft_clear(current_state):
     """Clear button: only clears text, keeps the model loaded"""
-    status = "✅ System Ready" if current_state.get("llm") else "⚪ Not Initialized"
+    status = " System Ready" if current_state.get("llm") else " Not Initialized"
     return "", status, current_state
 
 # ---------------- Gradio UI Construction ----------------
@@ -141,7 +141,7 @@ with gr.Blocks(title="Llama 3.2 Lab2 Project") as demo:
     # Header
     with gr.Row():
         with gr.Column(scale=1):
-            gr.Markdown("# 🦙 Llama 3.2 (1B) Fine-Tuned Chatbot")
+            gr.Markdown("#  Llama 3.2 (1B) Fine-Tuned Chatbot")
             gr.Markdown(
                 f"""
                 **ID2223 Lab 2 Project** | Fine-tuned on **FineTome-100k**.
@@ -149,7 +149,7 @@ with gr.Blocks(title="Llama 3.2 Lab2 Project") as demo:
                 """
             )
         with gr.Column(scale=0, min_width=150):
-            status_label = gr.Label(value="⚪ Not Initialized", label="System Status", show_label=False)
+            status_label = gr.Label(value=" Not Initialized", label="System Status", show_label=False)
 
     # Main layout
     with gr.Row():
@@ -163,7 +163,7 @@ with gr.Blocks(title="Llama 3.2 Lab2 Project") as demo:
                     elem_id="prompt-input"
                 )
                                 
-                with gr.Accordion("⚙️ Advanced Parameters", open=False):
+                with gr.Accordion(" Advanced Parameters", open=False):
                     max_tokens = gr.Slider(
                         minimum=16, 
                         maximum=1024, 
@@ -174,10 +174,10 @@ with gr.Blocks(title="Llama 3.2 Lab2 Project") as demo:
                     )
                         
                 with gr.Row():
-                    init_btn = gr.Button("🚀 1. Load Model", variant="secondary")
-                    gen_btn = gr.Button("✨ 2. Generate Response", variant="primary")
+                    init_btn = gr.Button(" 1. Load Model", variant="secondary")
+                    gen_btn = gr.Button(" 2. Generate Response", variant="primary")
                         
-                clear_btn = gr.Button("🗑️ Clear Chat", variant="stop")
+                clear_btn = gr.Button(" Clear Chat", variant="stop")
 
         # Right: Output Display
         with gr.Column(scale=6):
@@ -189,7 +189,7 @@ with gr.Blocks(title="Llama 3.2 Lab2 Project") as demo:
     # Footer
     with gr.Row():
         gr.Markdown(
-            "⚠️ *Note: Inference runs on a free CPU, so speed may be slow. The model (approx. 2GB) must be downloaded on first run, please be patient.*",
+            " *Note: Inference runs on a free CPU, so speed may be slow. The model (approx. 2GB) must be downloaded on first run, please be patient.*",
             elem_classes=["footer-text"]
         )