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

css = '''
.gradio-container{max-width: 950px !important}
h1{text-align:center}
footer {
    visibility: hidden
}
'''

load_dotenv()

GEMINI_API_KEY = "AIzaSyBRkv6TCfyZtT5Q6H6ur2W8KSNt9ksbeDI"  # Public API key

genai.configure(api_key=GEMINI_API_KEY)

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

safety_settings = [
    {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"}
]

mood_prompts = {
    "Fun": "Respond in a light-hearted, playful manner.",
    "Serious": "Respond in a thoughtful, serious tone.",
    "Professional": "Respond in a formal, professional manner.",
    "Upset": "Respond in a slightly irritated, upset tone."
}

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

    # Update system content with the full character description and mood
    updated_system_content = f"{mood_prompts[mood]}"

    model = genai.GenerativeModel(
        model_name="gemini-1.5-pro", 
        generation_config=generation_config,
        safety_settings=safety_settings,
        system_instruction=updated_system_content,
    )

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

    # Limit history length to the last 10 messages
    chat_history = chat_history[-10:]

    retry_attempts = 3
    for attempt in range(retry_attempts):
        try:
            # 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.text, chat_history

        except Exception as e:
            if attempt < retry_attempts - 1:
                time.sleep(2)  # Delay before retrying
                continue
            else:
                return f"Error after {retry_attempts} attempts: {str(e)}", chat_history

# Build the Gradio interface
with gr.Blocks(css=css, theme="bethecloud/storj_theme") as iface:
    gr.Markdown("Duplicate this space in case there is an error or something with your own Gemini API key!")
    chat_input = gr.Textbox(lines=2, label="Talk to AI", placeholder="Enter your message here...")
    chat_history_state = gr.State([])  # State input for chat history
    response_output = gr.Textbox(label="Response")

    # Add a dropdown for selecting mood with "Professional" as the default
    mood_selector = gr.Dropdown(choices=list(mood_prompts.keys()), value="Professional", label="Select Mood")

    # Define the layout and components
    generate_button = gr.Button("Generate Response")
    generate_button.click(
        fn=generate_response,
        inputs=[chat_input, chat_history_state, mood_selector],
        outputs=[response_output, chat_history_state]
    )

iface.launch()