Update app.py

app.py

@@ -48,7 +48,7 @@ def transcribe_audio(audio_file):
     forced_decoder_ids = processor.get_decoder_prompt_ids(language=language, task=task)
 
     with torch.no_grad():
-        # CUDA@function --> 
+        # CUDA@function -->
         with torch.cuda.device(device) if torch.cuda.is_available() else contextlib.nullcontext():
             output = pipe(audio_file, chunk_length_s=30, generate_kwargs={"forced_decoder_ids": forced_decoder_ids})
 
@@ -187,6 +187,13 @@ def text_rank_summary(text, num_paragraphs=3):
     return ' '.join(summary)
 
 
+banner_html = """
+<div style="text-align: center;">
+    <img src="https://huggingface.co/spaces/camparchimedes/transcription_app/resolve/main/Olas%20AudioSwitch%20Shop.png" alt="Banner Image" width="100%" height="auto">
+</div>
+"""
+
+
 import gradio as gr
 from fpdf import FPDF
 from PIL import Image
@@ -209,17 +216,12 @@ def save_to_pdf(text, summary):
     pdf.output(pdf_output_path)
     return pdf_output_path
 
-banner_html = """
-<div style="text-align: center;">
-    <img src="https://huggingface.co/spaces/camparchimedes/transcription_app/resolve/main/Olas%20AudioSwitch%20Shop.png" alt="Banner Image" width="100%" height="auto">
-</div>
-"""
 
 
 iface = gr.Interface(
     fn=transcribe_audio,
     inputs=gr.Audio(type="filepath"),
-    outputs=gr.Textbox(label="Transcription"),  
+    outputs=gr.Textbox(label="Transcription"),
     title="SW Transcription App",
     description="Upload an audio file to get the text",
     theme="default",