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Update app.py
Browse files
app.py
CHANGED
@@ -81,7 +81,7 @@ GENRE_EXAMPLES = {
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}
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#
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MAX_HISTORY_LENGTH = 20
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MEMORY_WINDOW = 5 # Reduced from 10 to limit context
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MAX_TOKENS = 1024 # Reduced from 2048 for faster responses
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@@ -133,14 +133,12 @@ def create_story_summary(chat_history):
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}
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return summary_instruction
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def
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"""
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for user_msg, bot_msg in chat_history:
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formatted_messages.append({"role": "user", "content": str(user_msg)})
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formatted_messages.append({"role": "assistant", "content": str(bot_msg)})
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return formatted_messages
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def respond(message: str, chat_history: List[Tuple[str, str]], genre: Optional[str] = None, use_full_memory: bool = True) -> Tuple[str, List[Tuple[str, str]]]:
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"""Generate a response based on the current message and conversation history."""
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if not message.strip():
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@@ -151,23 +149,22 @@ def respond(message: str, chat_history: List[Tuple[str, str]], genre: Optional[s
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api_messages = [{"role": "system", "content": get_enhanced_system_prompt(genre)}]
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logging.debug(f"System Message: {api_messages[0]}")
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# Add chat history
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if chat_history and use_full_memory:
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# Add current message
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api_messages.append({"role": "user", "content": str(message)})
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# Log api message structure for debugging
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logging.debug(f"API messages structure: {[msg['role'] for msg in api_messages]}")
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logging.debug(f"Final user message: {message}")
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# Make API call
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logging.debug("Making API call...")
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response = client.chat_completion(
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model="HuggingFaceH4/zephyr-7b-beta", # Explicitly specify model
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messages=api_messages,
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max_tokens=MAX_TOKENS,
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temperature=TEMPERATURE,
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@@ -200,27 +197,8 @@ def save_story(chat_history):
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return story_text
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def test_api_connection():
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"""Test API connection and return result"""
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try:
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response = client.chat_completion(
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model="HuggingFaceH4/zephyr-7b-beta",
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Say hello!"}
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],
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max_tokens=50
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)
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return f"✅ API Connection Test: Success! Response: {response.choices[0].message.content[:30]}..."
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except Exception as e:
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return f"❌ API Connection Failed: {str(e)}"
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🔮 Interactive Story Time")
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# Add API status indicator
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api_status = gr.Markdown("Checking API connection...", visible=True)
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gr.Markdown("Create a completely unique literary world, one choice at a time. Dare to explore the unknown.")
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with gr.Row():
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@@ -230,12 +208,14 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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height=500,
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bubble_full_width=True,
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show_copy_button=True,
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avatar_images=(
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container=True,
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scale=1,
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min_width=800,
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value=[],
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render=True
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)
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msg = gr.Textbox(
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placeholder="Describe what you want to do next in the story...",
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@@ -261,10 +241,6 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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info="When enabled, the AI tries to remember the entire story. If disabled, only the last few exchanges are used."
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)
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# Add debug button
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debug_btn = gr.Button("Test API Connection", variant="secondary")
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debug_output = gr.Markdown(visible=True)
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gr.Markdown("## Story Starters")
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# Create four placeholder buttons for story starters
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@@ -285,34 +261,32 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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results.append("")
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return tuple(results)
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#
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debug_btn.click(
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fn=test_api_connection,
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inputs=None,
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outputs=debug_output
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)
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# Function to handle starter button clicks
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def use_starter(starter_text, history, selected_genre, memory_flag):
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"""
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if not starter_text:
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return "", history
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#
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for starter_button in starter_buttons:
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starter_button.click(
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fn=use_starter,
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inputs=[starter_button, chatbot, genre, full_memory],
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outputs=[msg, chatbot],
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queue=True
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)
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@@ -323,30 +297,16 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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outputs=starter_buttons
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)
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# Handler for user input
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def submit_message(message, history, selected_genre, memory_flag):
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"""Handle user message submission"""
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if not message.strip():
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return "", history
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empty_msg, new_history = respond(
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message=message,
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chat_history=history,
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genre=selected_genre,
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use_full_memory=memory_flag
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)
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return empty_msg, new_history
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msg.submit(
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fn=
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inputs=[msg, chatbot, genre, full_memory],
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outputs=[msg, chatbot]
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)
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submit.click(
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fn=
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inputs=[msg, chatbot, genre, full_memory],
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outputs=[msg, chatbot]
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)
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# Clear the chatbot for a new adventure
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@@ -380,14 +340,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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outputs=starter_buttons,
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queue=False
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)
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# Also test API connection on load
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demo.load(
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fn=test_api_connection,
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outputs=api_status,
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queue=False
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)
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# Run the app
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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]
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}
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# 2. Add constants at the top for magic numbers
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MAX_HISTORY_LENGTH = 20
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MEMORY_WINDOW = 5 # Reduced from 10 to limit context
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MAX_TOKENS = 1024 # Reduced from 2048 for faster responses
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}
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return summary_instruction
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def format_history_for_gradio(history_tuples):
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"""Convert chat history to Gradio's message format."""
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return [(str(user_msg), str(bot_msg)) for user_msg, bot_msg in history_tuples]
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# 1. Add type hints for better code maintainability
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# 4. Add input validation
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def respond(message: str, chat_history: List[Tuple[str, str]], genre: Optional[str] = None, use_full_memory: bool = True) -> Tuple[str, List[Tuple[str, str]]]:
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"""Generate a response based on the current message and conversation history."""
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if not message.strip():
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api_messages = [{"role": "system", "content": get_enhanced_system_prompt(genre)}]
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logging.debug(f"System Message: {api_messages[0]}")
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# Add chat history
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if chat_history and use_full_memory:
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for user_msg, bot_msg in chat_history[-MEMORY_WINDOW:]:
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api_messages.extend([
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{"role": "user", "content": str(user_msg)},
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{"role": "assistant", "content": str(bot_msg)}
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])
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logging.debug(f"Chat History Messages: {api_messages[1:]}")
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# Add current message
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api_messages.append({"role": "user", "content": str(message)})
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logging.debug(f"Final Message List: {api_messages}")
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# Make API call
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logging.debug("Making API call...")
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response = client.chat_completion(
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messages=api_messages,
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max_tokens=MAX_TOKENS,
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temperature=TEMPERATURE,
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return story_text
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🔮 Interactive Story Time")
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gr.Markdown("Create a completely unique literary world, one choice at a time. Dare to explore the unknown.")
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with gr.Row():
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height=500,
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bubble_full_width=True,
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show_copy_button=True,
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avatar_images=("👤", "🧙♂️"), # Updated avatars
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type="chat",
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container=True,
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scale=1,
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min_width=800,
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value=[],
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render=True,
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layout="bubble"
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)
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msg = gr.Textbox(
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placeholder="Describe what you want to do next in the story...",
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info="When enabled, the AI tries to remember the entire story. If disabled, only the last few exchanges are used."
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)
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gr.Markdown("## Story Starters")
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# Create four placeholder buttons for story starters
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results.append("")
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return tuple(results)
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# New direct handler for starter clicks
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def use_starter(starter_text, history, selected_genre, memory_flag):
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"""Handle starter button clicks with proper message formatting"""
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if not starter_text:
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return "", history
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try:
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# Use the respond function for consistent handling
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_, updated_history = respond(
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message=starter_text,
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chat_history=history,
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genre=selected_genre,
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use_full_memory=memory_flag
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)
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return "", updated_history
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except Exception as e:
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error_msg = f"Story magic temporarily interrupted. Please try again. (Error: {str(e)})"
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return "", history + [(starter_text, error_msg)]
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# Simplified button connections
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for starter_button in starter_buttons:
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starter_button.click(
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fn=use_starter,
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inputs=[starter_button, chatbot, genre, full_memory],
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outputs=[msg, chatbot], # Now returning both message and chat history
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queue=True
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)
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outputs=starter_buttons
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)
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# Handler for user input
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msg.submit(
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fn=respond,
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inputs=[msg, chatbot, genre, full_memory],
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outputs=[msg, chatbot] # Now returning both message and chat history
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)
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submit.click(
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fn=respond,
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inputs=[msg, chatbot, genre, full_memory],
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outputs=[msg, chatbot] # Now returning both message and chat history
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)
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# Clear the chatbot for a new adventure
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outputs=starter_buttons,
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queue=False
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)
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# Run the app
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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