Update app.py

app.py

@@ -5,15 +5,16 @@ 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 = "spygaurad/nepali-speech-to-text" #this always needs to stay in line 8 :D sorry for the hackiness
+lang = "ne"
 
 device = 0 if torch.cuda.is_available() else "cpu"
 pipe = pipeline(
     task="automatic-speech-recognition",
-    model=MODEL_NAME,
+    model=model,
     chunk_length_s=30,
     device=device,
+    tokenizer=
 )
 
 pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language=lang, task="transcribe")
@@ -67,7 +68,7 @@ mf_transcribe = gr.Interface(
     outputs="text",
     layout="horizontal",
     theme="huggingface",
-    title="Whisper Demo: Transcribe Audio",
+    title="Nepali Transcribe Audio",
     description=(
         "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the the fine-tuned"
         f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
@@ -82,7 +83,7 @@ yt_transcribe = gr.Interface(
     outputs=["html", "text"],
     layout="horizontal",
     theme="huggingface",
-    title="Whisper Demo: Transcribe YouTube",
+    title="Nepali Transcribe YouTube",
     description=(
         "Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
         f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"