Update main.py

main.py

@@ -54,51 +54,51 @@ async def predict(
          ----------
         file : bytes
             input audio file
-​
+
         word : strings
             true hiragana word to calculate word score
-​
+
         pitch : strings
             true pitch to calculate pitch score
-​
+
         temperature: integer
             the difficulty of AI model
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+
         Returns:
         -------
         timestamp: strings
             current time Year-Month-Day-Hours:Minutes:Second
-​
+
         running_time : strings
             running time second
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+
         error message : strings
             error message from api
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+
         audio duration: integer
             durations of source audio
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+
         target : integer
             durations of target audio
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+
         method : string
             method applied to transform source audio
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+
         word predict : strings
             text from api
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+
         pitch predict : strings
             pitch from api
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+
         wrong word index: strings (ex: 100)
             wrong word compare to target word
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+
         wrong pitch index: strings (ex: 100)
             wrong word compare to target word
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+
         score: integer
             Levenshtein Distance Score from pitch and word
-​
+
     """
     upload_audio = ffmpeg_read(file, sampling_rate=16000)
     audio_duration = len(upload_audio) / 16000
@@ -135,7 +135,7 @@ async def predict(
         score = int(word_score)
         best_pitch_predict = None
         wrong_pitch = None
-​
+
     return {"timestamp": current_time,
             "running_time": f"{round(time.time() - start_time, 4)} s",
             "error message": error_message,