import os
import gradio as gr
import google.generativeai as genai
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# Retrieve API key from environment variable
GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")

# Retrieve system content from environment variable
SYSTEM_CONTENT = os.getenv("SYSTEM_CONTENT")

# Configure Google Gemini API
genai.configure(api_key=GEMINI_API_KEY)

# Create the model
generation_config = {
    "temperature": 0.7,
    "top_p": 0.95,
    "top_k": 64,
    "max_output_tokens": 512,  # Adjust as needed
    "response_mime_type": "text/plain",
}

# Define safety settings for the model
safety_settings = [
    {
        "category": "HARM_CATEGORY_HARASSMENT",
        "threshold": "BLOCK_NONE"
    },
    {
        "category": "HARM_CATEGORY_HATE_SPEECH",
        "threshold": "BLOCK_NONE"
    },
    {
        "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
        "threshold": "BLOCK_NONE"
    },
    {
        "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
        "threshold": "BLOCK_NONE"
    }
]

# Create the generative model (outside the function)
model = genai.GenerativeModel(
    model_name="gemini-1.5-pro", 
    generation_config=generation_config,
    safety_settings=safety_settings,
    system_instruction=SYSTEM_CONTENT,
)

def generate_response(user_input, chat_history):
    """Generates a response based on user input and chat history."""

    # Add user input to history
    chat_history.append(user_input)

    # Limit history length
    if len(chat_history) > 10:
        chat_history = chat_history[-10:]

    # Start a new chat session
    chat_session = model.start_chat()

    # Send the entire chat history as the first message
    response = chat_session.send_message("\n".join(chat_history))

    # Return response and update chat history
    return response.text, chat_history

with gr.Blocks() as iface:
    gr.Interface(
        fn=generate_response,
        inputs=[
            gr.Textbox(lines=2, label="Talk to AI Dental Expert", placeholder="Enter your message here..."),
            gr.State([])  # State input for chat history
        ],
        outputs=[
            gr.Textbox(label="Response"),
            gr.State([])  # State output to update chat history 
        ],
        title="AI Girlfriend",
        description="Contact me if you want another character/voice<br>WhatsApp me: +92-332-4399819<br> Email me: aheedsajid@gmail.com<br>[Click here to Donate](https://nowpayments.io/donation/aheed)"
    )

iface.launch()