Update app.py

app.py

@@ -19,7 +19,7 @@ import yt_dlp  # Added import for yt-dlp
 MODEL_NAME = "NbAiLab/nb-whisper-large"
 lang = "no"
 
-logo_path = os.path.join(os.path.dirname(__file__), "Logo.png")
+logo_path = os.path.join(os.path.dirname(__file__), "Logo_2.png")
 
 share = (os.environ.get("SHARE", "False")[0].lower() in "ty1") or None
 auth_token = os.environ.get("AUTH_TOKEN") or True
@@ -100,7 +100,10 @@ def yt_transcribe(yt_url, return_timestamps=False):
 demo = gr.Blocks()
 
 with demo:
-    gr.Image(value=logo_path, type="filepath", label=None, width=100)
+    with gr.Row():
+        gr.Image(value=logo_path, type="filepath", label=None, width=150, interactive=False)
+        gr.Markdown("NB-Whisper Demo")
+        
     mf_transcribe = gr.Interface(
         fn=transcribe,
         inputs=[
@@ -108,7 +111,7 @@ with demo:
             gr.components.Checkbox(label="Inkluder tidsstempler"),
         ],
         outputs=gr.HTML(label="text"),
-        title="NB-Whisper",
+        
         description=(
             "Transkriber lange lydopptak fra mikrofon eller lydfiler med et enkelt klikk! Demoen bruker den fintunede"
             f" modellen [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) og 🤗 Transformers til å transkribere lydfiler opp til 30 minutter."