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Update app.py
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app.py
CHANGED
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from transformers import pipeline
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import gradio as gr
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import random
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pred_emotion = pipe(text)
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if pred_emotion[0]['label'] == emotion:
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return "YOU WON",
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else:
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return "YOU LOSE",
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pipe = pipeline("text-classification", model="muhnatha/distilbert-base-uncased-game")
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question = {
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"sadness": "Be a student who just had a bad grade",
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"joy": "Be a football player who just won the world cup",
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"love": "Be a teenager who has a crush but she can only talk to her friend",
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"anger": "Be a student who angry because he was bullied",
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"fear": "Be a grandpa who tries to run away because there is an alien in his farm",
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"surprise": "Be a child who just got a birthday surprise"
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}
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task = random.choice(list(question.items()))
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def play(click_count=0):
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if click_count == 0:
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task = random.choice(list(question.items()))
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inp_emotion = gr.Textbox(value=task[0], visible=False)
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out = gr.Textbox()
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inp_dialog.change(actor_game, [inp_dialog, inp_emotion], out)
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reset_button = gr.Button()
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reset_button.click(lambda: play(click_count + 1))
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demo.launch()
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from transformers import pipeline
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import gradio as gr
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pipe = pipeline("text-classification", model="muhnatha/distilbert-base-uncased-game")
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def actor_game(emotion, text):
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pred_emotion = pipe(text)
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if pred_emotion[0]['label'] == emotion:
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return "YOU WON",emotion,pred_emotion[0]['label']
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else:
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return "YOU LOSE",emotion,pred_emotion[0]['label']
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iface = gr.Interface(
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fn=actor_game,
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inputs=[gr.Textbox(label="What emotion do you want to train?",placeholder = "joy, sadness, fear, surprise, love, anger"),
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gr.Textbox(label="your dialog")],
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outputs=[gr.Textbox(label="Result"),gr.Textbox(label="Expected"),gr.Textbox(label="your emotion")],
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title="Be an Actor",
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description="Type your dialog",
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)
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iface.launch()
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