updated app file

app.py

@@ -31,6 +31,9 @@ def load_data() -> str:
     try:
         df, status_msg = load_csv_from_folder(DATA_FOLDER)
         if not df.empty:
+            # Remove failed_samples column if it exists
+            if 'failed_samples' in df.columns:
+                df = df.drop(columns=['failed_samples'])
             DB["data"] = df
         return status_msg
     except Exception as e:
@@ -290,16 +293,16 @@ APP_VERSION = "v2.2.0"
 # Global constants used across all experiments
 GLOBAL_CONSTANTS = """
 **Global Constants (Applied to All Domains):**
-- **Summarization Model:** fangyuan/nq_abstractive_compressor
-- **Generator Model:** llama-3.1-8b-instant
-- **Generator Max Tokens:** 512
-- **Generator Temperature:** 0.2
-- **Generator API Provider:** Groq
-- **Generation LLM Context Budget:** 2000
-- **Judge Model:** llama-3.3-70b-versatile
-- **Judge Max Tokens:** 1024
-- **Judge Temperature:** 0
-- **Judge Sentence Attribution:** ENABLED
+- Generator Model: **llama-3.1-8b-instant**
+- Generator Max Tokens: **512**
+- Generator Temperature: **0.2**
+- Generator API Provider: **Groq**
+- Generation LLM Context Budget: **2000**
+- Judge Model: **llama-3.3-70b-versatile**
+- Judge Max Tokens: **1024**
+- Judge Temperature: **0.0**
+- Judge Sentence Attribution: **ENABLED**
+- Summarization Model: **fangyuan/nq_abstractive_compressor**
 """
 
 with gr.Blocks(title="RAG Analytics Pro") as demo: