Update app.py

app.py

@@ -176,7 +176,7 @@ from transformers.pipelines.audio_utils import ffmpeg_read
 import tempfile
 import os
 
-MODEL_NAME = "razhan/whisper-base-hawrami"
+MODEL_NAME = "razhan/whisper-base-hawrami-transcription"
 BATCH_SIZE = 1
 FILE_LIMIT_MB = 10
 YT_LENGTH_LIMIT_S = 60 * 10  # limit to 1 hour YouTube files
@@ -192,7 +192,7 @@ pipe = pipeline(
 
 
 # @spaces.GPU
-def transcribe(inputs, task="translate"):
+def transcribe(inputs, task="transcribe"):
     if inputs is None:
         raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.")
 
@@ -261,7 +261,7 @@ def _return_yt_html_embed(yt_url):
 #     return html_embed_str, text
 
 
-def yt_transcribe(yt_url, task="translate", progress=gr.Progress(), max_filesize=75.0):
+def yt_transcribe(yt_url, task="transcribe", progress=gr.Progress(), max_filesize=75.0):
     progress(0, desc="Loading audio file...")
     html_embed_str = _return_yt_html_embed(yt_url)
     try:
@@ -298,7 +298,7 @@ mf_transcribe = gr.Interface(
         # gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
     ],
     outputs="text",
-    title="Whisper Central Kurdish‌ (Sorani) Demo: Transcribe Audio",
+    title="Whisper Horami Demo: Transcribe Audio",
     description=(
         "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
         f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
@@ -314,7 +314,7 @@ file_transcribe = gr.Interface(
         # gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
     ],
     outputs="text",
-    title="Whisper Hawrami Demo: Translate Audio",
+    title="Whisper Horami Demo: Transcribe Audio",
     description=(
         "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
         f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
@@ -330,7 +330,7 @@ yt_transcribe = gr.Interface(
         # gr.Radio(["transcribe", "translate"], label="Task", value="transcribe")
     ],
     outputs=["html", "text"],
-    title="Whisper Hawrami Demo: Translate YouTube",
+    title="Whisper Horami Demo: Translate YouTube",
     description=(
         "Transcribe long-form YouTube videos with the click of a button! Demo uses the checkpoint"
         f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe video files of"