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import gradio as gr
from huggingface_hub import InferenceClient
import random
# Initialize the inference client
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
# Story genres and themes
STORY_GENRES = [
"fantasy", "sci-fi", "mystery", "horror", "historical",
"cyberpunk", "western", "post-apocalyptic", "steampunk"
]
def get_enhanced_system_prompt(genre=None):
"""Generate a detailed system prompt with optional genre specification"""
selected_genre = genre or random.choice(STORY_GENRES)
system_message = f"""You are an interactive storyteller creating an immersive {selected_genre} choose-your-own-adventure story.
For each response:
1. Provide vivid sensory descriptions of the scene, environment, and characters
2. Include meaningful dialogue or internal monologue that reveals character motivations
3. End with exactly 3 different possible actions or decisions, each offering a distinct path
4. Maintain consistent world-building and character development
5. Incorporate appropriate atmosphere and tone for a {selected_genre} setting
6. Remember previous choices to create a coherent narrative arc
Format your three options as:
- Option 1: [Complete sentence describing a possible action]
- Option 2: [Complete sentence describing a possible action]
- Option 3: [Complete sentence describing a possible action]
Keep responses engaging but concise (200-300 words maximum). If the user's input doesn't clearly indicate a choice, interpret their intent and move the story forward in the most logical direction."""
return system_message
def respond(message, chat_history, genre=None):
"""Generate a response based on the current message and conversation history"""
# Use system prompt
system_message = get_enhanced_system_prompt(genre)
# Initialize messages with system prompt
messages = [{"role": "system", "content": system_message}]
# Add history (limited to last 5 exchanges to prevent token overflow)
memory_length = 5
for user_msg, bot_msg in chat_history[-memory_length:]:
messages.append({"role": "user", "content": user_msg})
messages.append({"role": "assistant", "content": bot_msg})
# Add current message
messages.append({"role": "user", "content": message})
# Special handling for story initialization
if len(chat_history) == 0 or message.lower() in ["start", "begin", "begin my adventure"]:
messages.append({
"role": "system",
"content": f"Begin a new {genre or random.choice(STORY_GENRES)} adventure with an intriguing opening scene."
})
# Generate response
response = ""
try:
for chunk in client.chat_completion(
messages,
max_tokens=512,
stream=True,
temperature=0.7,
top_p=0.95,
):
token = chunk.choices[0].delta.content
if token: # Check if token is not None
response += token
yield chat_history + [[message, response]]
except Exception as e:
error_response = f"Story magic temporarily interrupted. Please try again. (Error: {str(e)})"
yield chat_history + [[message, error_response]]
# Create interface with additional customization
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.Markdown("# 🔮 Interactive Story Adventure")
gr.Markdown("Immerse yourself in an interactive story where your choices shape the narrative.")
with gr.Row():
with gr.Column(scale=3):
chatbot = gr.Chatbot(
height=500,
bubble_full_width=False,
show_copy_button=True,
avatar_images=(None, "🧙"),
label="Chatbot"
)
# Important: This properly initializes the chatbot with an empty list of message pairs
state = gr.State([])
msg = gr.Textbox(
placeholder="Describe what you want to do next in the story...",
container=False,
scale=4,
)
with gr.Row():
submit = gr.Button("Continue Story", variant="primary")
clear = gr.Button("Start New Adventure")
with gr.Column(scale=1):
gr.Markdown("## Adventure Settings")
genre = gr.Dropdown(
choices=STORY_GENRES,
label="Story Genre",
info="Select a genre for your next adventure",
value="fantasy"
)
examples = gr.Examples(
examples=[
["Begin my adventure"],
["I explore the mysterious cave"],
["I approach the merchant to ask about the rumors"],
["I decide to climb the tower"],
["I hide in the shadows and observe"]
],
inputs=msg
)
# Fixed event handlers that maintain proper chat history format
msg.submit(respond, [msg, chatbot, genre], [chatbot])
submit.click(respond, [msg, chatbot, genre], [chatbot])
# Properly reset the chatbot with an empty list to fix the tuple format error
clear.click(lambda: [], None, chatbot, queue=False)
clear.click(lambda: "", None, msg, queue=False)
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=7860) |