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Update app.py
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app.py
CHANGED
@@ -6,7 +6,8 @@ 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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choices = [
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"Walk north into the dense forest.",
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"Go south back towards a distant town.",
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@@ -14,27 +15,36 @@ choices = [
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"Move west where the land rises."
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]
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def generate_continuation(
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prompt = f"{scenario} You decide to {choice}"
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max_length = 50 # Adjust as needed
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input_ids = tokenizer.encode(prompt, return_tensors='pt')
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output = model.generate(input_ids, max_length=max_length, num_return_sequences=1)
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continuation = tokenizer.decode(output[0], skip_special_tokens=True)
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return continuation
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def update_scenario(choice_index):
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chosen_action = choices[choice_index]
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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=
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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:
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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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initial_scenario = "You wake up in a strange forest. Paths lead in all directions."
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history = [initial_scenario]
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choices = [
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"Walk north into the dense forest.",
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"Go south back towards a distant town.",
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"Move west where the land rises."
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]
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def generate_continuation(prompt):
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max_length = 50 # Adjust as needed
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input_ids = tokenizer.encode(prompt, return_tensors='pt')
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output = model.generate(input_ids, max_length=max_length, num_return_sequences=1)
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continuation = tokenizer.decode(output[0], skip_special_tokens=True)
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return continuation
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def update_scenario(choice_index):
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global history, choices
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chosen_action = choices[choice_index]
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history.append(chosen_action)
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full_story = " ".join(history)
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new_part = generate_continuation(full_story)
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history.append(new_part) # Update history with the new part of the story
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full_story = " ".join(history)
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# For simplicity, we keep the same choices here, but you could generate new choices based on the story.
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return full_story
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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=initial_scenario, show_label=False, lines=10)
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choice_buttons = [gr.Button(choice) for choice in choices]
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def handle_choice(choice_index):
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new_story = update_scenario(choice_index)
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story_display.update(value=new_story)
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return [gr.update() for _ in choices]
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for i, button in enumerate(choice_buttons):
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button.click(fn=lambda x=i: handle_choice(x), outputs=story_display)
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app.launch()
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