refactoring for pylint score

Author: VinciGit00

examples/utils/vision_speech_example.py

@@ -17,18 +17,19 @@
 }
 
 model = OpenAIImageToText(llm_config)
-answer = model.run("https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/scrapegraphai_logo.png")
-print(answer)
+ANSWER = model.run(
+    "https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/scrapegraphai_logo.png")
+print(ANSWER)
 
 text_to_speech = OpenAITextToSpeech(llm_config, model="tts-1", voice="alloy")
 
-text = "Today is a wonderful day to build something people love!"
-audio = text_to_speech.run(text)
+TEXT = "Today is a wonderful day to build something people love!"
+audio = text_to_speech.run(TEXT)
 
 # Save the audio to a file
 curr_dir = os.path.dirname(os.path.realpath(__file__))
 file_path = os.path.join(curr_dir, "text2speech.mp3")
 
 save_audio_from_bytes(audio, file_path)
 
-print(f"Speech file saved to: {file_path}")
+print(f"Speech file saved to: {file_path}")

scrapegraphai/evaluators/trulens_evaluator.py

@@ -84,5 +84,4 @@ def json_complaint(self, my_text_field: str) -> float:
         """
         if '{' in my_text_field and '}' in my_text_field and ':' in my_text_field:
             return 1.0
-        else:
-            return 0.0
+        return 0.0