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 = {
    "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"""
    if genre in GENRE_EXAMPLES:
        return GENRE_EXAMPLES[genre]
    else:
        return GENRE_EXAMPLES["fantasy"]  # Default to 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 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)

    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}]
    
    if use_full_memory and formatted_history:
        if len(formatted_history) > 20:  # Arbitrary threshold
            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)
    
    api_messages.append({"role": "user", "content": message})
    
    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
                new_history = chat_history.copy()
                new_history.append((message, bot_message))
                yield new_history
    except Exception as e:
        error_message = f"Story magic temporarily interrupted. Please try again. (Error: {str(e)})"
        yield chat_history + [(message, error_message)]

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

# Create interface with additional customization options
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):
            # Chat window + user input
            chatbot = gr.Chatbot(
                height=500,
                bubble_full_width=False,
                show_copy_button=True,
                avatar_images=(None, "🧙"),
                type="messages"  # Use OpenAI-style 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="Select a genre for 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]
            
            # Function to update the labels of the 4 starter buttons
            def update_starter_buttons(selected_genre):
                # Grab up to 4 examples from the chosen genre
                examples = get_examples_for_genre(selected_genre)
                # If there are fewer than 4, fill the rest with placeholders or hide them
                button_updates = []
                for i in range(4):
                    if i < len(examples):
                        button_updates.append(gr.Button.update(value=examples[i], visible=True))
                    else:
                        button_updates.append(gr.Button.update(value="(no starter)", visible=False))
                return button_updates
            
            # Function that populates the msg with the chosen starter text, then calls respond
            def pick_starter(starter_text, chat_history, selected_genre, memory_flag):
                # The function returns the text to put in msg
                # but we also chain the respond function via .then
                return starter_text
            
            # Hook each starter button:
            #  1) Put the chosen text into 'msg'
            #  2) Then call 'respond' to update the chatbot
            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
                )
            
            # Connect the genre dropdown to update these 4 starter buttons
            genre.change(
                fn=update_starter_buttons,
                inputs=[genre],
                outputs=starter_buttons
            )
    
    # -- Chat submission + button events --
    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)
    
    # "Download My Story" logic
    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
    )

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