Update app.py

app.py

@@ -12,7 +12,7 @@ from pydub import AudioSegment
 import torch
 from transformers import pipeline
 from huggingface_hub import model_info
-import spacey
+import spacy
 #import nltk
 #from nltk.tokenize import word_tokenize
 #from nltk.corpus import stopwords
@@ -101,7 +101,7 @@ def transcribe_audio(audio_file):
         f"Number of words: {len(text.split())}\n\n"
         "Real-time Factor (RTF) is a measure often used to evaluate the speed of speech recognition systems. "
         "It is the ratio of transcription time to the duration of the audio.\n\n"
-        "An RTF of less than 1 means the transcription process is faster than real-time, which is quite good for large models like nb-whisper-large."
+        "An RTF of less than 1 means the transcription process is faster than real-time."
     )
 
     # result = f"Time taken: {output_time:.2f} seconds\nNumber of words: {len(text.split())}"