Update app.py

app.py

@@ -110,7 +110,6 @@ def transcribe_audio(audio_file, chunk_length_s=30):
 
         # Create attention mask
         attention_mask = torch.ones(inputs.input_features.shape[:2], dtype=torch.long, device=device)
-        attention_mask[inputs.input_features == processor.pad_token_id] = 0
         
         # ASR model inference on the chunk
         with torch.no_grad():
@@ -258,8 +257,8 @@ def save_to_pdf(text, summary):
 iface = gr.Blocks()
 
 with iface:
-    gr.HTML('<img src="https://huggingface.co/spaces/camparchimedes/transcription_app/resolve/main/banner_trans.png" alt="Banner 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.HTML('<img src="https://huggingface.co/spaces/camparchimedes/ola_s-audioshop/resolve/main/banner_trans.png" width="100%" height="auto"/>')
+    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"):