Update app.py

app.py

@@ -35,7 +35,7 @@ pipe = pipeline("automatic-speech-recognition", model="NbAiLabBeta/nb-whisper-la
 language = "no"
 task = "transcribe"
 
-@spaces.GPU(queue=True)
+# @spaces.GPU(queue=True)
 def transcribe_audio(audio_file):
     if audio_file.endswith(".m4a"):
         audio_file = convert_to_wav(audio_file)
@@ -111,7 +111,6 @@ summarization_model = AutoModelForSeq2SeqLM.from_pretrained("t5-base", return_di
 summarization_tokenizer = AutoTokenizer.from_pretrained("t5-base")
 summarization_model.to(device)
 
-@spaces.GPU(queue=True)
 def summarize_text(text):
     preprocessed_text = preprocess_text(text)
     if preprocessed_text is None:
@@ -187,7 +186,7 @@ def text_rank_summary(text, num_paragraphs=3):
 
 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">
+    <img src="https://github.com/camparchimedes/sw-llm/blob/main/annex/banner_trans.png" alt="Banner Image" width="100%" height="auto">
 </div>
 """