Update app.py

app.py

@@ -46,7 +46,7 @@ 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=True,sentiment_analysis=True):
+def transcribe(file,use_timestamps=True,sentiment_analysis=True):
     '''inputs: file, return_timestamps'''
     outputs = pipe(file, batch_size=BATCH_SIZE, generate_kwargs={"task": 'transcribe'}, return_timestamps=True)
     text = outputs["text"]
@@ -93,19 +93,16 @@ def hide_sentiment(value):
 #Components------------------------------------------------------------------------------------------------------------------------------------      
       
 #Input components        
-yt_link = gr.Textbox(value=None,label="YouTube link", info = "Optional: Copy and paste YouTube URL") #0
-download_button = gr.Button(value="Download") #1
-thumbnail = gr.HTML(value="", label = "Thumbnail") #2
+#yt_link = gr.Textbox(value=None,label="YouTube link", info = "Optional: Copy and paste YouTube URL") #0
+#download_button = gr.Button(value="Download") #1
+#thumbnail = gr.HTML(value="", label = "Thumbnail") #2
 audio_input = gr.Audio(source="upload", type="filepath", label="Upload audio file for transcription") #3
 timestamp_checkbox = gr.Checkbox(value=True, label="Return timestamps") #4
 sentiment_checkbox = gr.Checkbox(value=True, label="Sentiment analysis") #5
 
-inputs = [yt_link, #0
-          download_button, #1
-          thumbnail, #2
-          audio_input, #3
-          timestamp_checkbox, #4
-          sentiment_checkbox] #5
+inputs = [audio_input, #0
+          timestamp_checkbox, #1
+          sentiment_checkbox] #2
 
 #Ouput components
 audio_out = gr.Audio(label="Processed Audio", type="filepath", info = "Vocals only") 
@@ -119,7 +116,7 @@ outputs = [audio_out, gr.outputs.HTML("text"), sentiment_plot, sentiment_frequen
 #Launch demo-----------------------------------------------------------------------------------------------------------------------------------------
 
 with gr.Blocks() as demo:
-  download_button.click(download, inputs=[yt_link], outputs=[thumbnail])
+  #download_button.click(download, inputs=[yt_link], outputs=[thumbnail])
   sentiment_checkbox.change(hide_sentiment, inputs=[sentiment_checkbox], outputs=[sentiment_plot, sentiment_frequency])