Update app.py

app.py

@@ -5,8 +5,8 @@ import pytube as pt
 from transformers import pipeline
 from huggingface_hub import model_info
 
-MODEL_NAME = "openai/whisper-small" #this always needs to stay in line 8 :D sorry for the hackiness
-lang = "en"
+MODEL_NAME = "DeividasM/whisper-medium-lt" #this always needs to stay in line 8 :D sorry for the hackiness
+lang = "lt"
 
 device = 0 if torch.cuda.is_available() else "cpu"
 pipe = pipeline(
@@ -70,7 +70,7 @@ mf_transcribe = gr.Interface(
     title="Whisper Demo: Transcribe Audio",
     description=(
         "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the the fine-tuned"
-        f" checkpoint [Whisper-medium-lt](https://huggingface.co/DeividasM/whisper-medium-lt) and 🤗 Transformers to transcribe audio files"
+        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
         " of arbitrary length."
     ),
     allow_flagging="never",
@@ -85,7 +85,7 @@ yt_transcribe = gr.Interface(
     title="Whisper Demo: Transcribe YouTube",
     description=(
         "Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
-        f" [Whisper-medium-lt](https://huggingface.co/DeividasM/whisper-medium-lt) and 🤗 Transformers to transcribe audio files of"
+        f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
         " arbitrary length."
     ),
     allow_flagging="never",