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Update app.py
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app.py
CHANGED
@@ -6,7 +6,6 @@ model_name = "distilgpt2"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Sample starting scenario and choices
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scenario = "You wake up in a strange forest. Paths lead in all directions."
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choices = [
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"Walk north into the dense forest.",
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@@ -30,14 +29,12 @@ def update_scenario(choice_index):
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new_scenario = generate_continuation(chosen_action)
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return new_scenario
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# Gradio app
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with gr.Blocks() as app:
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with gr.Row():
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story_display = gr.Textbox(value=scenario, show_label=False, lines=7)
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button = gr.Button(choice)
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button.click(fn=update_scenario, data=i, outputs=story_display)
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app.launch()
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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scenario = "You wake up in a strange forest. Paths lead in all directions."
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choices = [
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"Walk north into the dense forest.",
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new_scenario = generate_continuation(chosen_action)
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return new_scenario
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with gr.Blocks() as app:
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with gr.Row():
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story_display = gr.Textbox(value=scenario, show_label=False, lines=7)
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choice_buttons = [gr.Button(choice) for choice in choices]
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for i, button in enumerate(choice_buttons):
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button.click(fn=lambda x=i: update_scenario(x), inputs=None, outputs=story_display)
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app.launch()
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