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Update app.py
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app.py
CHANGED
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@@ -31,12 +31,37 @@ emotion_title = "Texts Expressing Emotion with Speech"
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emotion_description = "This AI model classifies texts expressing human emotion and converts them into speech."
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emotion_examples = [["He is very happy today", "Free Palestine"]]
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combined_demo = gr.Interface(
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fn=classify_emotion_and_speech,
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inputs="textbox",
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outputs=["text", "audio"],
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title=emotion_title,
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theme=theme,
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description=emotion_description,
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examples=emotion_examples,
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)
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@@ -46,3 +71,4 @@ combined_demo_tabbed = gr.TabbedInterface([tts_demo, combined_demo], ["Text to S
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if __name__ == "__main__":
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combined_demo_tabbed.launch()
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emotion_description = "This AI model classifies texts expressing human emotion and converts them into speech."
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emotion_examples = [["He is very happy today", "Free Palestine"]]
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# Define a theme for the Gradio interface
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theme = {
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"container": {
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"background-color": "#007bff",
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"color": "#fff",
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"padding": "20px",
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},
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"textbox": {
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"background-color": "#fff",
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"border-radius": "5px",
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"padding": "10px",
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"margin-bottom": "10px",
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},
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"button": {
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"background-color": "#007bff",
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"color": "#fff",
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"padding": "10px",
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"border-radius": "5px",
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"cursor": "pointer",
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},
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"label": {
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"color": "#fff",
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},
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}
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combined_demo = gr.Interface(
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fn=classify_emotion_and_speech,
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inputs="textbox",
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outputs=["text", "audio"],
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title=emotion_title,
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theme=theme, # Include the theme here
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description=emotion_description,
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examples=emotion_examples,
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)
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if __name__ == "__main__":
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combined_demo_tabbed.launch()
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