Update app.py

app.py

@@ -13,7 +13,8 @@ from functions.timestamp import format_timestamp
 from functions.youtube import get_youtube_video_id
 #---------------------------------------------------------------------
 
-MODEL_NAME = "jpdiazpardo/whisper-tiny-metal"
+MODEL_NAME = "openai/whisper-medium"
+#MODEL_NAME = "jpdiazpardo/whisper-tiny-metal"
 BATCH_SIZE = 8
 device = 0 if torch.cuda.is_available() else "cpu"
 
@@ -53,22 +54,22 @@ def transcribe(link,download,thumbnail,file,use_timestamps=True,sentiment_analys
 
     #If return timestamps is True, return html text with timestamps format
     if use_timestamps==True:
-      #spider_text = [f"{chunk['text']}" for chunk in timestamps] #Text for spider chart without timestamps
+      spider_text = [f"{chunk['text']}" for chunk in timestamps] #Text for spider chart without timestamps
       timestamps = [f"[{format_timestamp(chunk['timestamp'][0])} -> {format_timestamp(chunk['timestamp'][1])}] {chunk['text']}" for chunk in timestamps]
 
     else:
       timestamps = [f"{chunk['text']}" for chunk in timestamps]
-      #spider_text = timestamps
+      spider_text = timestamps
 
     text = "<br>".join(str(feature) for feature in timestamps)
     text = f"<h4>Transcription</h4><div style='overflow-y: scroll; height: 150px;'>{text}</div>"
 
-    #spider_text = "\n".join(str(feature) for feature in spider_text)
-    #trans_dict=[transform_dict(classifier.predict(t)[0]) for t in spider_text.split("\n")]
-    #av_dict = calculate_average(trans_dict)
-    #fig = spider_chart(av_dict)
+    spider_text = "\n".join(str(feature) for feature in spider_text)
+    trans_dict=[transform_dict(classifier.predict(t)[0]) for t in spider_text.split("\n")]
+    av_dict = calculate_average(trans_dict)
+    fig = spider_chart(av_dict)
     
-    return file, text, #fig, av_dict
+    return file, text, fig, av_dict
 
 embed_html = '<iframe src="https://www.youtube.com/embed/YOUTUBE_ID'\
               'title="YouTube video player" frameborder="0" allow="accelerometer;'\
@@ -81,11 +82,11 @@ def download(link):
     subprocess.run(['python3', 'youtubetowav.py', link])
     return thumbnail.update(value=embed_html.replace("YOUTUBE_ID",get_youtube_video_id(link)))
 
-#def hide_sentiment(value):
-#  if value == True:
-#    return sentiment_plot.update(visible=True), sentiment_frequency.update(visible=True)
-#  else:
-#    return sentiment_plot.update(visible=False), sentiment_frequency.update(visible=False)
+def hide_sentiment(value):
+  if value == True:
+    return sentiment_plot.update(visible=True), sentiment_frequency.update(visible=True)
+  else:
+    return sentiment_plot.update(visible=False), sentiment_frequency.update(visible=False)
 
 #----------------------------------------------------------------------------------------------------------------------------------------------
       
@@ -97,21 +98,21 @@ 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
+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
+          timestamp_checkbox, #4
+          sentiment_checkbox] #5
 
 #Ouput components
 audio_out = gr.Audio(label="Processed Audio", type="filepath", info = "Vocals only") 
-#sentiment_plot = gr.Plot(label="Sentiment Analysis")
-#sentiment_frequency = gr.Label(label="Frequency")
+sentiment_plot = gr.Plot(label="Sentiment Analysis")
+sentiment_frequency = gr.Label(label="Frequency")
 
-outputs = [audio_out, gr.outputs.HTML("text")]#, sentiment_plot, sentiment_frequency]
+outputs = [audio_out, gr.outputs.HTML("text")], sentiment_plot, sentiment_frequency]
 
 #----------------------------------------------------------------------------------------------------------------------------------------------------
 
@@ -119,7 +120,7 @@ outputs = [audio_out, gr.outputs.HTML("text")]#, sentiment_plot, sentiment_frequ
 
 with gr.Blocks() as demo:
   download_button.click(download, inputs=[yt_link], outputs=[thumbnail])
-  #sentiment_checkbox.change(hide_sentiment, inputs=[sentiment_checkbox], outputs=[sentiment_plot, sentiment_frequency])
+  sentiment_checkbox.change(hide_sentiment, inputs=[sentiment_checkbox], outputs=[sentiment_plot, sentiment_frequency])
 
 
   with gr.Column():