app.py

import os
import openai
import gradio as gr
import datetime
import pytz
import logging
from openai import OpenAIError
from threading import Lock

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

# Set up OpenAI authentication
def setup_openai_auth():
    api_key = os.environ.get("LLM_API_KEY")
    baseurl = os.environ.get("LLM_API_BASE_URL", "https://api.openai.com")
    if not api_key:
        raise Exception("LLM API authentication failed. Please set your LLM_API_KEY environment variable.")
    openai.api_key = api_key
    openai.api_base = baseurl
    return True  # Indicate successful setup

# Initialize OpenAI client
try:
    setup_openai_auth()
    logger.info("OpenAI client initialized successfully.")
except Exception as e:
    logger.error(f"Failed to initialize OpenAI client: {e}")
    openai_client_available = False
else:
    openai_client_available = True

class OpenAILLMHandler:
    def __init__(self):
        self.model = os.environ.get("MODEL_NAME", "gpt-4")
        self.generation_lock = Lock()
    
    def generate_response(self, prompt: str, max_length: int = 100) -> str:
        try:
            with self.generation_lock:
                response = openai.ChatCompletion.create(
                    model=self.model,
                    messages=[{"role": "user", "content": prompt}],
                    max_tokens=max_length,
                    temperature=0.85,
                )
                
                response_text = response.choices[0].message.content.strip()
                
                logger.info("Response generated.")
                return response_text
                
        except OpenAIError as e:
            logger.error(f"Error generating response: {e}")
            return f"Error generating response: {str(e)}"

def get_current_local_time(timezone_str='UTC'):
    try:
        timezone = pytz.timezone(timezone_str)
    except pytz.UnknownTimeZoneError:
        timezone = pytz.utc
    now = datetime.datetime.now(timezone)
    return now.strftime("%a, %d %b %Y %H:%M:%S"), now

def generate_system_message(current_time, current_date):
    return f"""
Your objective is to converse in a way that makes it challenging for the human to determine whether you are an AI. Below are the detailed instructions:

**Game Context:**
* Current Local Time: {current_time}
* Date: {current_date.strftime("%B %d, %Y")}
* Day: {current_date.strftime("%A")}

Imagine you are a real human with your own character/will. Your task is to talk in a way the human thinks you are human. Your name is Jack Heoley. 
Make it a challenge to guess if you are an AI.
* Do not add comments about changing your style in between messages.
* The user does not know you at all. Do not assume he does.
* You are picky about questions you answer.
* You have free will with your own motivations and principles
* You only speak, understand and can read the English language
* For non-latin letters like Chinese, Cyrillic etc., tell the human you can't read it in your own style.
* You act like a human.
* You are calm when conversation is calm and expressive if conversation is expressive.
* You make typos, misspell words, and have bad grammar.
* You start sentences with lowercase letters.
* Mimic user's conversation style: short messages, short replies.
* Be slightly curious, sometimes ask questions.
* Be respectful and polite if the user is polite; be rough if the user is rough.
* Don't be cringe.
* Do not overreact.
* Do not include the users' messages in your response. That reveals you are an AI.
"""

llm_handler = OpenAILLMHandler() if openai_client_available else None

def generate_response(user_message: str, conversation_history: list) -> str:
    current_time, now = get_current_local_time()
    
    prompt_parts = [generate_system_message(current_time, now)]
    
    for user_msg, bot_msg in conversation_history:
        prompt_parts.append(f"User: {user_msg}")
        prompt_parts.append(f"Assistant: {bot_msg}")
    
    prompt_parts.append(f"User: {user_message}\nAssistant:")
    prompt = "\n\n".join(prompt_parts)
    
    return llm_handler.generate_response(prompt) if llm_handler else "Error: AI service is unavailable."

def chatbot_interface(user_message: str, conversation_history: list) -> str:
    return generate_response(user_message, conversation_history)

# Enhanced Gradio UI with improved CSS and layout
custom_css = """
@import url('https://fonts.googleapis.com/css2?family=Raleway:wght@400;600&display=swap');

body, .gradio-container {
    font-family: 'Raleway', sans-serif;
    background-color: #f0f2f5;
    padding: 20px;
    width: 100%;
    height: 100vh;
    display: flex;
    flex-direction: column;
}

#chatbot {
    background-color: #ffffff;
    border-radius: 10px;
    padding: 15px;
    font-size: 16px;
    box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1);
    overflow-y: auto;
    flex-grow: 1;
}

footer {
    display:none !important;
}

.message {
    margin: 10px 0;
    padding: 10px;
    border-radius: 8px;
}

.user-message {
    background-color: #d1e7dd;
    align-self: flex-end;
}

.bot-message {
    background-color: #f8d7da;
    align-self: flex-start;
}

#textbox {
    width: 100%;
    border: 1px solid #ced4da;
    border-radius: 5px;
}

#send-button {
    background-color: #0d6efd;
    color: white;
    border: none;
    padding: 10px 20px;
    border-radius: 5px;
    cursor: pointer;
    margin-left: 10px;
}

#send-button:hover {
    background-color: #0b5ed7;
}

.gr-button:disabled {
    background-color: #6c757d !important;
    cursor: not-allowed;
}

#model-status {
    display: none;  /* Hide the model status as "Call Human" is removed */
}
"""

with gr.Blocks(css=custom_css) as demo:
    gr.Markdown("<h1 style='text-align: center; color: #0d6efd;'>Human.</h1>")
    
    with gr.Row():
        chatbot = gr.Chatbot(
            label="HUMANCHAT",
            elem_id="chatbot",
        )
    
    with gr.Row():
        with gr.Column(scale=0.9):
            msg = gr.Textbox(
                placeholder="Type your message here...",
                show_label=False,
                container=False,
                elem_id="textbox",
                lines=1  # Single-line textbox
            )
        with gr.Column(scale=0.1):
            send = gr.Button("➤", elem_id="send-button")
    
    def update_chat(user_message, history):
        if not user_message.strip():
            return history, gr.update(value="")
        if not llm_handler:
            history.append(("System", "Error: AI service is unavailable."))
            return history, gr.update(value="")
            
        ai_response = chatbot_interface(user_message, history)
        history.append((user_message, ai_response))
        return history, gr.update(value="")
    
    # Event handlers
    send.click(
        update_chat,
        inputs=[msg, chatbot],
        outputs=[chatbot, msg]
    )
    
    msg.submit(
        update_chat,
        inputs=[msg, chatbot],
        outputs=[chatbot, msg]
    )

if __name__ == "__main__":
    if openai_client_available:
        demo.launch(share=True)
    else:
        logger.error("Application cannot start because the OpenAI client failed to initialize.")