Update app.py

app.py

@@ -47,29 +47,28 @@ def respond(
     temperature,
     top_p,
     hf_token: gr.OAuthToken,
-    if "predict" in message.lower() and "vs" in message.lower():
-    fighters = message.split("vs")
-    if len(fighters) == 2:
-        fighter1_name = fighters[0].strip()
-        fighter2_name = fighters[1].strip()
-
-        fighter1 = find_champion_by_name(fighter1_name)
-        fighter2 = find_champion_by_name(fighter2_name)
-
-        if fighter1 and fighter2:
-            history1 = get_bouts_for_champion(fighter1["championId"])
-            history2 = get_bouts_for_champion(fighter2["championId"])
-
-            # Build structured prompt for LLM
-            message = f"""
-            Fighter 1: {fighter1['name']['first']} {fighter1['name']['last']}
-            Fighter 2: {fighter2['name']['first']} {fighter2['name']['last']}
-            Fighter 1 bouts: {len(history1)}
-            Fighter 2 bouts: {len(history2)}
-            Predict this fight round by round.
-            """
-
 ):
+    if "predict" in message.lower() and "vs" in message.lower():
+        fighters = message.split("vs")
+        if len(fighters) == 2:
+            fighter1_name = fighters[0].strip()
+            fighter2_name = fighters[1].strip()
+    
+            fighter1 = find_champion_by_name(fighter1_name)
+            fighter2 = find_champion_by_name(fighter2_name)
+    
+            if fighter1 and fighter2:
+                history1 = get_bouts_for_champion(fighter1["championId"])
+                history2 = get_bouts_for_champion(fighter2["championId"])
+    
+                # Build structured prompt for LLM
+                message = f"""
+                Fighter 1: {fighter1['name']['first']} {fighter1['name']['last']}
+                Fighter 2: {fighter2['name']['first']} {fighter2['name']['last']}
+                Fighter 1 bouts: {len(history1)}
+                Fighter 2 bouts: {len(history2)}
+                Predict this fight round by round.
+                """
 
     # Initialize model client (DeepSeek 70B)
     client = InferenceClient(