Update app.py

app.py

@@ -2,7 +2,7 @@
 import os
 os.system('git clone https://github.com/ggerganov/whisper.cpp.git')
 os.system('make -C ./whisper.cpp')
-MODELS_TO_DOWNLOAD = ['tiny', 'medium'] # ['tiny', 'small', 'base', 'medium', 'large']
+MODELS_TO_DOWNLOAD = ['base', 'tiny', 'medium'] # ['tiny', 'small', 'base', 'medium', 'large']
 
 for model_name in MODELS_TO_DOWNLOAD:
     os.system(f'bash ./whisper.cpp/models/download-ggml-model.sh {model_name}')
@@ -24,9 +24,12 @@ import time
 from pytube import YouTube
 import torch
 
-INTRO_MSG = '#### There are many not very widely spoken languages for which it is quite hard to find learning materials, especially well dubbed videos. \
-This tool will hopefully generate subtitles so you can watch the video of your target language with corresponding subs. At least for me this is nice tool \
-to practice both listening and reading skills'
+INTRO_MSG = '''#### <p>There are many not very widely spoken languages for which it is quite hard to find learning materials, especially well dubbed videos. 
+This tool will hopefully generate subtitles so you can watch the video of your target language with corresponding subs. At least for me this is nice tool 
+to practice both listening and reading skills. 
+<p>Speech Recognition is based on models from [OpenAI Whisper](https://github.com/openai/whisper)
+<p> This space is using c++ implementation by https://github.com/ggerganov/whisper.cpp 
+'''
 
 whisper_models = MODELS_TO_DOWNLOAD #["medium"]#["base", "small", "medium", "large", "base.en"]