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import gradio as gr
import os
from huggingface_hub import InferenceClient, __version__ as hf_version
import random
from typing import Generator, Dict, List, Tuple, Optional
import logging # Added logging for better debugging
# Configure logging with DEBUG level and add version info
logging.basicConfig(
level=logging.DEBUG,
format='%(asctime)s - %(levelname)s - %(message)s'
)
logging.debug(f"Using huggingface_hub version: {hf_version}")
# Get token from environment variable
hf_token = os.environ.get("HF_TOKEN")
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta", token=hf_token)
# Story genres with genre-specific example prompts
GENRE_EXAMPLES = {
"fairy tale": [
"I follow the shimmer of fairy dust into a hidden forest",
"I meet a talking rabbit who claims to know a secret about the king's lost crown",
"A tiny dragon appears at my window, asking for help to find its mother",
"I step into a clearing where the trees whisper ancient riddles",
"A friendly witch invites me into her cozy cottage, offering a warm cup of tea"
],
"fantasy": [
"I enter the ancient forest seeking the wizard's tower",
"I approach the dragon cautiously with my shield raised",
"I examine the mysterious runes carved into the stone altar",
"I try to bargain with the elven council for safe passage"
],
"sci-fi": [
"I hack into the space station's mainframe",
"I investigate the strange signal coming from the abandoned planet",
"I negotiate with the alien ambassador about the peace treaty",
"I try to repair my damaged spacecraft before oxygen runs out"
],
"mystery": [
"I examine the crime scene for overlooked evidence",
"I question the nervous butler about the night of the murder",
"I follow the suspicious figure through the foggy streets",
"I check the victim's diary for hidden clues"
],
"horror": [
"I slowly open the creaking door to the basement",
"I read the forbidden text while the candles flicker",
"I hide under the bed as footsteps approach",
"I investigate the strange noises coming from the attic"
],
"western": [
"I challenge the outlaw to a duel at high noon",
"I track the bandits through the desert canyon",
"I enter the saloon looking for information",
"I defend the stagecoach from the approaching raiders"
],
"cyberpunk": [
"I jack into the corporate mainframe to steal data",
"I negotiate with the street gang for cybernetic upgrades",
"I hide in the neon-lit alleyway from corporate security",
"I meet my mysterious client in the underground bar"
],
"historical": [
"I attend the royal ball hoping to meet the mysterious count",
"I join the resistance against the occupying forces",
"I navigate the dangerous politics of the royal court",
"I set sail on a voyage to discover new lands"
],
"post-apocalyptic": [
"I scavenge the abandoned shopping mall for supplies",
"I approach the fortified settlement seeking shelter",
"I navigate through the radioactive zone using my old map",
"I hide from the approaching group of raiders"
],
"steampunk": [
"I pilot my airship through the lightning storm",
"I present my new invention to the Royal Academy",
"I investigate the mysterious clockwork automaton",
"I sneak aboard the emperor's armored train"
]
}
# 2. Add constants at the top for magic numbers
MAX_HISTORY_LENGTH = 20
MEMORY_WINDOW = 5 # Reduced from 10 to limit context
MAX_TOKENS = 1024 # Reduced from 2048 for faster responses
TEMPERATURE = 0.7 # Slightly reduced for faster convergence
TOP_P = 0.95
MIN_RESPONSE_LENGTH = 100 # Reduced from 200 for quicker display
def get_examples_for_genre(genre):
"""Get example prompts specific to the selected genre"""
return GENRE_EXAMPLES.get(genre, GENRE_EXAMPLES["fantasy"])
def get_enhanced_system_prompt(genre=None):
"""Generate a detailed system prompt with optional genre specification"""
selected_genre = genre or "fantasy"
system_message = f"""You are an interactive storyteller creating an immersive {selected_genre} choose-your-own-adventure story.
For each response you MUST:
1. Write 100-200 words describing the scene, using vivid sensory details
2. Always use second-person perspective ("you", "your") to maintain reader immersion
3. Include dialogue or your character's thoughts that reveal personality and motivations
4. Create a strong sense of atmosphere appropriate for {selected_genre}
5. End with EXACTLY THREE numbered choices and NOTHING ELSE AFTER THEM:
1. [Complete sentence in second-person starting with a verb]
2. [Complete sentence in second-person starting with a verb]
3. [Complete sentence in second-person starting with a verb]
CRITICAL RULES:
- Provide only ONE set of three choices at the very end of your response
- Never continue the story after giving choices
- Never provide additional choices
- Keep all narrative before the choices
- End every response with exactly three numbered options
- Each choice must start with "You" followed by a verb
Remember: The story continues ONLY when the player makes a choice."""
return system_message
def create_story_summary(chat_history):
"""Create a concise summary of the story so far if the history gets too long"""
if len(chat_history) <= 2:
return None
story_text = ""
for i in range(0, len(chat_history), 2):
if i+1 < len(chat_history):
story_text += f"User: {chat_history[i]}\nStory: {chat_history[i+1]}\n\n"
summary_instruction = {
"role": "system",
"content": "The conversation history is getting long. Please create a brief summary of the key plot points and character development so far to help maintain context without exceeding token limits."
}
return summary_instruction
# Modified function for proper Gradio format (lists)
def respond(message: str, chat_history: List[str], genre: Optional[str] = None, use_full_memory: bool = True) -> Tuple[str, List[str]]:
"""Generate a response based on the current message and conversation history."""
if not message.strip():
return "", chat_history
try:
# Start with system prompt
api_messages = [{"role": "system", "content": get_enhanced_system_prompt(genre)}]
logging.debug(f"System Message: {api_messages[0]}")
# Add chat history - convert from lists to API format
if chat_history and use_full_memory:
# Take pairs of messages (user, bot) from history
history_pairs = list(zip(chat_history[::2], chat_history[1::2]))
for user_msg, bot_msg in history_pairs[-MEMORY_WINDOW:]:
api_messages.extend([
{"role": "user", "content": str(user_msg)},
{"role": "assistant", "content": str(bot_msg)}
])
logging.debug(f"Chat History Messages: {api_messages[1:]}")
# Add current message
api_messages.append({"role": "user", "content": str(message)})
logging.debug(f"Final Message List: {api_messages}")
# Make API call
logging.debug("Making API call...")
response = client.chat_completion(
messages=api_messages,
max_tokens=MAX_TOKENS,
temperature=TEMPERATURE,
top_p=TOP_P
)
logging.debug("API call completed")
# Extract response
bot_message = response.choices[0].message.content
logging.debug(f"Bot Response: {bot_message[:100]}...") # First 100 chars
# Update history using list format [user_msg, bot_msg, user_msg, bot_msg, ...]
updated_history = chat_history + [message, bot_message]
return "", updated_history
except Exception as e:
logging.error("Error in respond function", exc_info=True)
error_msg = f"Story magic temporarily interrupted. Please try again. (Error: {str(e)})"
return "", chat_history + [message, error_msg]
def save_story(chat_history):
"""Convert chat history to markdown and return as downloadable file"""
if not chat_history:
return None
story_text = "# My Interactive Adventure\n\n"
# Process in pairs (user message, bot response)
for i in range(0, len(chat_history), 2):
if i+1 < len(chat_history):
story_text += f"**Player:** {chat_history[i]}\n\n"
story_text += f"**Story:** {chat_history[i+1]}\n\n---\n\n"
# Return as bytes for download
return story_text.encode('utf-8')
# Add this function to get a custom avatar image URL
def get_storyteller_avatar_url():
"""Get a URL for the storyteller avatar from a free image service"""
# Using an external wizard avatar image
return "https://api.dicebear.com/7.x/bottts/svg?seed=wizard&backgroundColor=b6e3f4&eyes=bulging"
with gr.Blocks(theme=gr.themes.Soft()) as demo:
# Header section with improved instructions
gr.Markdown("""
# 🔮 AI Story Studio
This AI-powered storytelling experience is a collaboration between you and AI—building a world, scene by scene.
You lead the way with your choices, and AI responds, expanding on your ideas.
### How to Play:
1. Describe what you want to do next *(Example: "I step into the ancient library, searching for hidden scrolls")*
2. Follow one of the AI's suggestions or write your own next move
3. Keep going! The AI remembers your choices and helps shape the evolving adventure
> **Tip:** The more detail you provide, the deeper the story becomes.
""")
wizard_avatar = get_storyteller_avatar_url()
with gr.Row():
with gr.Column(scale=3):
# Chat window + user input - USING LIST FORMAT
chatbot = gr.Chatbot(
height=500,
bubble_full_width=True,
show_copy_button=True,
avatar_images=(None, wizard_avatar),
container=True,
scale=1,
min_width=800,
value=[], # Empty list for messages
render=True
)
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=list(GENRE_EXAMPLES.keys()),
label="Story Genre",
info="Choose the theme of your next adventure",
value="fantasy"
)
full_memory = gr.Checkbox(
label="Full Story Memory",
value=True,
info="When enabled, the AI tries to remember the entire story. If disabled, only the last few exchanges are used."
)
gr.Markdown("## Story Starters")
# Create four placeholder buttons for story starters
starter_btn1 = gr.Button("Starter 1")
starter_btn2 = gr.Button("Starter 2")
starter_btn3 = gr.Button("Starter 3")
starter_btn4 = gr.Button("Starter 4")
starter_buttons = [starter_btn1, starter_btn2, starter_btn3, starter_btn4]
# Simplified update function
def update_starter_buttons(selected_genre):
examples = get_examples_for_genre(selected_genre)
results = []
for i in range(4):
if i < len(examples):
results.append(examples[i])
else:
results.append("")
return tuple(results)
# New direct handler for starter clicks
def use_starter(starter_text, history, selected_genre, memory_flag):
"""Handle starter button clicks with proper message formatting"""
if not starter_text:
return "", history
try:
# Use the respond function for consistent handling
_, updated_history = respond(
message=starter_text,
chat_history=history,
genre=selected_genre,
use_full_memory=memory_flag
)
return "", updated_history
except Exception as e:
error_msg = f"Story magic temporarily interrupted. Please try again. (Error: {str(e)})"
return "", history + [starter_text, error_msg]
# Simplified button connections
for starter_button in starter_buttons:
starter_button.click(
fn=use_starter,
inputs=[starter_button, chatbot, genre, full_memory],
outputs=[msg, chatbot],
queue=True
)
# Update buttons when genre changes
genre.change(
fn=update_starter_buttons,
inputs=[genre],
outputs=starter_buttons
)
# Handler for user input
msg.submit(
fn=respond,
inputs=[msg, chatbot, genre, full_memory],
outputs=[msg, chatbot]
)
submit.click(
fn=respond,
inputs=[msg, chatbot, genre, full_memory],
outputs=[msg, chatbot]
)
# Clear the chatbot for a new adventure
clear.click(lambda: [], None, chatbot, queue=False)
clear.click(lambda: "", None, msg, queue=False)
# "Download My Story" row
with gr.Row():
save_btn = gr.Button("Download My Story", variant="secondary")
story_output = gr.File(
label="Download your story",
file_count="single",
file_types=[".md"]
)
save_btn.click(
fn=lambda x: {"name": "story.md", "data": save_story(x)} if x else None,
inputs=[chatbot],
outputs=[story_output]
)
# Initialize buttons with default fantasy genre examples
initial_examples = get_examples_for_genre("fantasy")
initial_button_data = tuple(
initial_examples[i] if i < len(initial_examples) else ""
for i in range(4)
)
# Update button text on page load
demo.load(
fn=lambda: initial_button_data,
outputs=starter_buttons,
queue=False
)
# Run the app
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=7860)