Update app.py

app.py

@@ -3,10 +3,12 @@ import gradio as gr
 import pytube as pt
 
 pipe = pipeline(model="Hoft/whisper-small-swedish-asr")  # change to "your-username/the-name-you-picked"
+sa = pipeline('sentiment-analysis', model='marma/bert-base-swedish-cased-sentiment')
 
 def microphone_or_file_transcribe(audio):
     text = pipe(audio)["text"]
-    return text
+    sa_result = sa(text)[0]
+    return text, sa_result['label']
     
 def youtube_transcribe(url):
     yt = pt.YouTube(url)
@@ -24,7 +26,7 @@ app = gr.Blocks()
 microphone_tab = gr.Interface(
     fn=microphone_or_file_transcribe, 
     inputs=gr.Audio(source="microphone", type="filepath"), 
-    outputs="text",
+    outputs=["text", "text"],
     title="Whisper Small Swedish",
     description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
 )
@@ -40,7 +42,7 @@ youtube_tab = gr.Interface(
 file_tab = gr.Interface(
     fn=microphone_or_file_transcribe, 
     inputs= gr.inputs.Audio(source="upload", type="filepath"), 
-    outputs="text",
+    outputs=["text", "text"],
     title="Whisper Small Swedish",
     description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
 )