import gradio as gr
import requests

# API endpoint URL for the Horoscope API
API_URL = "https://ai-research.quarkgen.ai/templedekho/horoscope/v1"

def get_horoscope_response(name, year, month, day, hour, minutes, city, nation, language, question):
    """
    Send a POST request to the horoscope API with the user-provided parameters.
    """
    # Prepare the input payload
    payload = {
        "name": name,
        "year": int(year),
        "month": int(month),
        "day": int(day),
        "hour": int(hour),
        "minutes": int(minutes),
        "city": city,
        "nation": nation,
        "question": question,
        "language": language,
    }
    
    response = requests.post(API_URL, json=payload)
    
        
        # Check if there was an error in the API response
    if response.status_code == 200:
        response_data = response.text
        # return response_data        
        return response_data
    
    else:
        return "Sorry, there was an error with your request."


# Define the Gradio interface
def create_gradio_interface():
    """
    Creates the Gradio user interface for AI Guru Astrologer.
    """
    # Title and description for the interface
    title = "AI Guru Astrologer"
    description = "Enter your details below to get personalized horoscope predictions from the AI Guru Astrologer."

    # Input components for the user's details (using gr.components instead of gr.inputs)
    name_input = gr.Textbox(label="Name", placeholder="Enter your name")
    year_input = gr.Number(label="Year of Birth")
    day_input = gr.Number(label="Day of Birth")
    month_input = gr.Number(label="Month of Birth")
    hour_input = gr.Number(label="Hour of Birth (24-hour format)")
    minutes_input = gr.Number(label="Minute of Birth")
    city_input = gr.Textbox(label="City of Birth", placeholder="Enter the city of your birth")
    nation_input = gr.Textbox(label="Nation (Country Code)", placeholder="Enter the country code (e.g., IN, US)")
    language_input = gr.Textbox(label="Language (Language Code)", placeholder="Enter the Languages code (e.g., EN: English, HI: Hindi)")
    question_input = gr.Textbox(label="Your Question for the Guru", placeholder="Enter your personal question (e.g., What is my career path?)")

    # Output component for the response (using gr.components instead of gr.outputs)
    response_output = gr.Textbox(label="AI Guru Astrologer's Response")

    # Gradio interface layout
    iface = gr.Interface(
        fn=get_horoscope_response,
        inputs=[name_input, year_input, month_input, day_input, hour_input, minutes_input, city_input, nation_input, language_input, question_input],
        outputs=[response_output],
        title=title,
        description=description,
        live=False,  # The API call will be made when the user clicks the submit button
        allow_flagging="never"  # Disable flagging option
    )
    
    iface.launch()

# Main entry point to run the Gradio interface
if __name__ == "__main__":
    create_gradio_interface()