Update app.py

app.py

@@ -48,7 +48,7 @@ title = "Scream: Fine-Tuned Whisper model for automatic gutural speech recogniti
 classifier = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", top_k=None)
 
 #Functions-----------------------------------------------------------------------------------------------------------------------
-def transcribe(link,download,thumbnail,file,use_timestamps,sentiment_analysis):#file, return_timestamps, *kwargs):
+def transcribe(link,thumbnail,file,use_timestamps,sentiment_analysis):#file, return_timestamps, *kwargs):
     '''inputs: file, return_timestamps'''
     outputs = pipe(file, batch_size=BATCH_SIZE, generate_kwargs={"task": 'transcribe'}, return_timestamps=True)
     text = outputs["text"]
@@ -95,7 +95,7 @@ def hide_sa(value):
 #Input components        
 yt_link = gr.Textbox(value=None,label="YouTube link", info = "Optional: Copy and paste YouTube URL")
 audio_input = gr.Audio(source="upload", type="filepath", label="Upload audio file for transcription")
-download_button = gr.Button("Download")
+download_button = gr.Button(value="Download")
 thumbnail = gr.HTML(value=embed_html, visible=False, label = "Thumbnail")
 sa_checkbox = gr.Checkbox(value=True, label="Sentiment analysis")