app.py

import gradio as gr
from huggingface_hub import InferenceClient
import random

# Initialize the inference client
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")

# 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"
    ]
}

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:
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 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 user_msg, bot_msg in chat_history:
        story_text += f"User: {user_msg}\nStory: {bot_msg}\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

def format_history_for_gradio(history_tuples):
    """Convert (user, bot) tuples into Gradio 'messages' format (role/content dicts)."""
    messages = []
    for user_msg, bot_msg in history_tuples:
        messages.append({"role": "user", "content": user_msg})
        messages.append({"role": "assistant", "content": bot_msg})
    return messages

def respond(message, chat_history, genre=None, use_full_memory=True):
    """Generate a response based on the current message and conversation history."""
    system_message = get_enhanced_system_prompt(genre)

    # Convert your existing (user, bot) history into a format for the API request
    formatted_history = []
    for user_msg, bot_msg in chat_history:
        formatted_history.append({"role": "user", "content": user_msg})
        formatted_history.append({"role": "assistant", "content": bot_msg})
    
    api_messages = [{"role": "system", "content": system_message}]
    
    # Use full memory or partial memory
    if use_full_memory and formatted_history:
        if len(formatted_history) > 20:
            summary_instruction = create_story_summary(chat_history[:len(chat_history)-5])
            if summary_instruction:
                api_messages.append(summary_instruction)
            for msg in formatted_history[-10:]:
                api_messages.append(msg)
        else:
            for msg in formatted_history:
                api_messages.append(msg)
    else:
        memory_length = 10
        if formatted_history:
            for msg in formatted_history[-memory_length*2:]:
                api_messages.append(msg)
    
    # Add current user message
    api_messages.append({"role": "user", "content": message})
    
    # Special handling for story initialization
    if not chat_history or message.lower() in ["start", "begin", "begin my adventure"]:
        api_messages.append({
            "role": "system",
            "content": f"Begin a new {genre or 'fantasy'} adventure with an intriguing opening scene. Introduce the protagonist without assuming too much about them."
        })
    
    bot_message = ""
    try:
        for response_chunk in client.chat_completion(
            api_messages,
            max_tokens=512,
            stream=True,
            temperature=0.7,
            top_p=0.95,
        ):
            delta = response_chunk.choices[0].delta.content
            if delta:
                bot_message += delta
                # Keep storing your conversation as (user, bot) tuples
                new_history = chat_history.copy()
                new_history.append((message, bot_message))
                # Yield in the new dictionary format for Gradio
                yield format_history_for_gradio(new_history)
    except Exception as e:
        error_message = f"Story magic temporarily interrupted. Please try again. (Error: {str(e)})"
        broken_history = chat_history + [(message, error_message)]
        yield format_history_for_gradio(broken_history)

def save_story(chat_history):
    """Convert chat history to markdown for download"""
    if not chat_history:
        return "No story to save yet!"
    
    story_text = "# My Interactive Adventure\n\n"
    for user_msg, bot_msg in chat_history:
        story_text += f"**Player:** {user_msg}\n\n"
        story_text += f"**Story:** {bot_msg}\n\n---\n\n"
    
    return story_text

with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("# 🔮 Interactive Story Time")
    gr.Markdown("Create a completely unique literary world, one choice at a time. Dare to explore the unknown.")
    
    with gr.Row():
        with gr.Column(scale=3):
            # Chat window + user input
            chatbot = gr.Chatbot(
                height=500,
                bubble_full_width=False,
                show_copy_button=True,
                avatar_images=(None, "🧙"),
                type="messages"
            )
            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]

            # 1) We'll return a list of 4 dicts, each dict updating 'value' & 'visible'
            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({"value": examples[i], "visible": True})
                    else:
                        results.append({"value": "(no starter)", "visible": False})
                return tuple(results)  # we must return a tuple/list with 4 items for 4 outputs

            # 2) Initialize them with "fantasy" so they don't stay "Starter X" on page load
            # We'll just call the function and store the results in a variable, then apply them in a .load() event
            initial_button_data = update_starter_buttons("fantasy")  # returns 4 dicts

            # 3) We'll define a "pick_starter" function that sets msg to the chosen text
            def pick_starter(starter_text, chat_history, selected_genre, memory_flag):
                # Putting 'starter_text' into the msg
                return starter_text

            # 4) Connect each starter button:
            for starter_button in starter_buttons:
                starter_button.click(
                    fn=pick_starter,
                    inputs=[starter_button, chatbot, genre, full_memory],
                    outputs=[msg],
                    queue=False
                ).then(
                    fn=respond,
                    inputs=[msg, chatbot, genre, full_memory],
                    outputs=[chatbot],
                    queue=False
                )

            # 5) Dynamically update the 4 buttons if the user changes the genre
            genre.change(
                fn=update_starter_buttons,
                inputs=[genre],
                outputs=starter_buttons
            )

    # Handler for user input
    msg.submit(respond, [msg, chatbot, genre, full_memory], [chatbot])
    submit.click(respond, [msg, chatbot, genre, full_memory], [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.Markdown(visible=False)
    
    save_btn.click(save_story, inputs=[chatbot], outputs=[story_output])
    save_btn.click(
        fn=lambda: True,
        inputs=None,
        outputs=story_output,
        js="() => {document.getElementById('story_output').scrollIntoView();}",
        queue=False
    )

    # 6) Finally, run a "load" event to apply initial_button_data to the 4 button outputs on page load
    def load_initial_buttons():
        # Just return our precomputed tuple of 4 dicts
        return initial_button_data

    demo.load(fn=load_initial_buttons, outputs=starter_buttons, queue=False)

# Run the app
if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)