pavan2606 commited on
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Update app.py

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  1. app.py +50 -1
app.py CHANGED
@@ -189,9 +189,58 @@ def emotion(file_path):
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  audio_examples=["Audio 1.wav","Audio 2.wav","Audio 3.wav","Audio 4.wav","Audio 5.wav"]
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- audio_model = gr.Interface(fn=emotion, inputs="textbox", outputs="textbox",examples=audio_examples)
 
 
 
 
 
 
 
 
 
 
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+
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+ import gradio as gr
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+
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+ # Gradio
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+ audio_title = "Audio Emotion Detector πŸŽ™οΈ"
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+
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+ audio_description = gr.Markdown(
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+ """Ever wondered what emotions someone's voice might be hiding?
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+ Prepare to dive into the wild world of vocal emotions with this uproariously entertaining app!
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+ Just upload an audio clip in WAV or MP3 format, and our trusty emotion detector
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+ will spill the beans on what kind of emotional rollercoaster ride they're on.
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+
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+ ## Pro Tip
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+ Make sure the audio clip captures only their voice for maximum hilarity!
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+ Let's see if they're serenading with sorrow or belting out bursts of bliss! 🎢
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+
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+ And hey, if you're feeling a bit blue yourself, this app is sure to hit all the right notes
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+ and lift your spirits!""").value
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+
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+ audio_article = gr.Markdown(
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+ """
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+ ## DISCLAIMER
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+ This app isn't equipped with psychic powers!
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+ So, take the results with a pinch of musical humor, or better yet, a dollop of whimsy!
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+
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+ ## FUN FACT
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+ Our audio emotion detector was trained on a zany collection of audio clips
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+ that range from dramatic monologues to cat karaoke concerts! It's not just about the tones;
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+ it's about the tunes too! 🐱🎀
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+
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+ ## DATA DELIGHTS
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+ Did you know our dataset includes a cacophony of audio clips
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+ in WAV and MP3 formats? It's like tuning into an emotion-filled radio station
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+ where every frequency is a new adventure in hilarity! πŸ“»
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+ """).value
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+
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+
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+
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+
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  audio_examples=["Audio 1.wav","Audio 2.wav","Audio 3.wav","Audio 4.wav","Audio 5.wav"]
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+
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+ audio_model=gr.Interface(fn = emotion,
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+ inputs = gr.Textbox( label='Audio File Path'),
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+ outputs = gr.Textbox(label='Emotion'),
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+ title = audio_title,
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+ examples = audio_examples,
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+ description = audio_description,
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+ article=audio_article,
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+ allow_flagging='never')
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+
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+
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