Add progress indicators during evaluation

- Add gr.Progress() parameter to run_evaluation function
- Display progress messages: "Evaluating with Qwen3...", "Evaluating with RWKV7...", "Generating visualization..."
- Show progress bar with percentage (10%, 50%, 90%)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

app.py

@@ -182,7 +182,7 @@ def wrap_html_in_iframe(html: str) -> str:
     '''
 
 
-def run_evaluation(text: str):
+def run_evaluation(text: str, progress=gr.Progress()):
     """Run evaluation on both models and generate visualization."""
     from core.evaluator import evaluate_hf_single_sample, evaluate_rwkv7_single_sample
     from visualization.html_generator import generate_comparison_html
@@ -199,7 +199,7 @@ def run_evaluation(text: str):
 
     try:
         # Step 1: Evaluate Qwen (using cached model)
-        print("Evaluating with Qwen3...")
+        progress(0.1, desc="Evaluating with Qwen3...")
         result_qwen = evaluate_hf_single_sample(
             _qwen_model,
             _qwen_tokenizer,
@@ -208,7 +208,7 @@ def run_evaluation(text: str):
         )
 
         # Step 2: Evaluate RWKV7 (using cached model)
-        print("Evaluating with RWKV7...")
+        progress(0.5, desc="Evaluating with RWKV7...")
         result_rwkv = evaluate_rwkv7_single_sample(
             _rwkv_model,
             _rwkv_tokenizer,
@@ -216,7 +216,7 @@ def run_evaluation(text: str):
         )
 
         # Step 3: Generate visualization
-        print("Generating visualization...")
+        progress(0.9, desc="Generating visualization...")
         html = generate_comparison_html(
             text=text,
             byte_losses_a=result_qwen["byte_wise_losses"],