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import gradio as gr | |
import os | |
from huggingface_hub import InferenceClient | |
api_token = os.getenv('token') | |
client = InferenceClient("gpt2", token=api_token) | |
scenario = "You wake up in a strange forest. Paths lead in all directions." | |
choices = [ | |
"Walk north into the dense forest.", | |
"Go south back towards a distant town.", | |
"Explore east towards the sound of water.", | |
"Move west where the land rises." | |
] | |
history = [] | |
def generate_continuation(choice): | |
global scenario, history | |
history.append(choice) | |
prompt = f"{scenario} {' '.join(history)}" | |
max_length = 50 # Adjust as needed | |
response = client(prompt, max_length=max_length, remove_input=True) | |
continuation = response[0]['generated_text'] | |
return continuation | |
with gr.Blocks() as app: | |
with gr.Row(): | |
story_display = gr.Textbox(value=scenario, lines=7) | |
choice_buttons = [gr.Button(choice) for choice in choices] | |
def handle_choice(choice_index): | |
chosen_action = choices[choice_index] | |
new_scenario = generate_continuation(chosen_action) | |
story_display.update(value=new_scenario) | |
return gr.update() | |
for i, button in enumerate(choice_buttons): | |
button.click(fn=lambda x=i: handle_choice(x), inputs=None, outputs=story_display) | |
app.launch() |