Update app.py

app.py

@@ -63,7 +63,9 @@ processor = WhisperProcessor.from_pretrained("NbAiLab/nb-whisper-large")
 # Generation kwargs
 generate_kwargs = {
     "num_beams": 5,
-    "language": "no"
+    "task": "transcribe",
+    "language": "no",
+    "forced_decoder_ids": None
 }
 
 # Initialize pipeline
@@ -215,15 +217,11 @@ def save_to_pdf(text, summary):
     pdf.output(pdf_output_path)
     return pdf_output_path
 
-def display_image():
-    img_url = "https://huggingface.co/spaces/camparchimedes/transcription_app/blob/main/banner_trans.png"
-    return img_url
-
 iface = gr.Blocks()
 
 with iface:
-    gr.Image(display_image(), label="Image")
-    gr.Markdown("# Switch Work's JoJo-versjon som webapp for transkribering av lydfiler til norsk skrift. Språkmodell: NbAiLab/nb-whisper-large, Ekstra: oppsummering, pdf-download")
+    gr.Image("https://huggingface.co/spaces/camparchimedes/transcription_app/blob/main/banner_trans.png")
+    gr.Markdown("*Switch Work's JoJo-versjon som webapp for transkribering av lydfiler til norsk skrift. Språkmodell: NbAiLab/nb-whisper-large, Ekstra: oppsummering, pdf-download*")
 
     with gr.Tabs():
         with gr.TabItem("Transcription"):