diff --git a/playground/demos/autotemp/autotemp.py b/playground/demos/autotemp/autotemp.py
index baf8f091..ed38a621 100644
--- a/playground/demos/autotemp/autotemp.py
+++ b/playground/demos/autotemp/autotemp.py
@@ -1,31 +1,19 @@
 import re
 from swarms.models.openai_models import OpenAIChat
 
-
 class AutoTemp:
     """
     AutoTemp is a tool for automatically selecting the best temperature setting for a given task.
     It generates responses at different temperatures, evaluates them, and ranks them based on quality.
     """
 
-    def __init__(
-        self,
-        api_key,
-        default_temp=0.0,
-        alt_temps=None,
-        auto_select=True,
-        max_workers=6,
-    ):
+    def __init__(self, api_key, default_temp=0.0, alt_temps=None, auto_select=True, max_workers=6):
         self.api_key = api_key
         self.default_temp = default_temp
-        self.alt_temps = (
-            alt_temps if alt_temps else [0.4, 0.6, 0.8, 1.0, 1.2, 1.4]
-        )
+        self.alt_temps = alt_temps if alt_temps else [0.4, 0.6, 0.8, 1.0, 1.2, 1.4]
         self.auto_select = auto_select
         self.max_workers = max_workers
-        self.llm = OpenAIChat(
-            openai_api_key=self.api_key, temperature=self.default_temp
-        )
+        self.llm = OpenAIChat(openai_api_key=self.api_key, temperature=self.default_temp)
 
     def evaluate_output(self, output, temperature):
         print(f"Evaluating output at temperature {temperature}...")
@@ -46,20 +34,12 @@ class AutoTemp:
         ---
         """
         score_text = self.llm(eval_prompt, temperature=0.5)
-        score_match = re.search(r"\b\d+(\.\d)?\b", score_text)
-        return (
-            round(float(score_match.group()), 1)
-            if score_match
-            else 0.0
-        )
+        score_match = re.search(r'\b\d+(\.\d)?\b', score_text)
+        return round(float(score_match.group()), 1) if score_match else 0.0
 
     def run(self, prompt, temperature_string):
         print("Starting generation process...")
-        temperature_list = [
-            float(temp.strip())
-            for temp in temperature_string.split(",")
-            if temp.strip()
-        ]
+        temperature_list = [float(temp.strip()) for temp in temperature_string.split(',') if temp.strip()]
         outputs = {}
         scores = {}
         for temp in temperature_list:
@@ -73,15 +53,12 @@ class AutoTemp:
         if not scores:
             return "No valid outputs generated.", None
 
-        sorted_scores = sorted(
-            scores.items(), key=lambda item: item[1], reverse=True
-        )
+        sorted_scores = sorted(scores.items(), key=lambda item: item[1], reverse=True)
         best_temp, best_score = sorted_scores[0]
         best_output = outputs[best_temp]
 
         return (
-            f"Best AutoTemp Output (Temp {best_temp} | Score:"
-            f" {best_score}):\n{best_output}"
+            f"Best AutoTemp Output (Temp {best_temp} | Score: {best_score}):\n{best_output}"
             if self.auto_select
             else "\n".join(
                 f"Temp {temp} | Score: {score}:\n{outputs[temp]}"