app.py

# import gradio as gr
# import requests

# API_URL = "https://ai-research.quarkgen.ai/templedekho/vastu/v1"

# def get_vastu_advice(question, image_path):
#     # Open the image file and prepare for upload
#     with open(image_path, 'rb') as image_file:
#         files = {'image_path': image_file}
#         data = {'question': question, 'session_id': "Ab-5654654"}

#         response = requests.post(API_URL, files=files, data=data)

#     if response.status_code == 200:
#         answer = response.text
#         return "🕉️ Guruji says: 🙏\n\n" + answer
#     else:
#         return f"Error: {response.json().get('error', 'Unknown error')}"

# # Gradio interface
# iface = gr.Interface(
#     fn=get_vastu_advice,
#     inputs=[
#         gr.Textbox(label="Question"),
#         gr.Image(type="filepath", label="Upload House Image (JPEG/PNG)")
#     ],
#     outputs=gr.Textbox(label="Vastu Prediction"),
#     title="🕉️ AI Vastu Astrologer 🕉️",
#     description = "Enter your House Structure to get personalized Vastu advice from the AI Guru Vastu."
# )

# if __name__ == "__main__":
#     iface.launch(share=True)

import gradio as gr
import requests

API_URL = "https://ai-research.quarkgen.ai/templedekho/vastu/v1"

def get_vastu_advice(question, image_path=None):
    """
    Get Vastu advice by sending a question and either an image or PDF to the API.
    """
    files = {}
    data = {'question': question, 'session_id': "Ab-5654654"}

    # Add image file if provided
    if image_path:
        files['image_path'] = open(image_path, 'rb')

    # # Add PDF file if provided
    # if pdf_path:
    #     files['image_path'] = open(image_path, 'rb')

    try:
        response = requests.post(API_URL, files=files, data=data)

        # Check response status
        if response.status_code == 200:
            answer = response.text
            return "🕉️ Guruji says: 🙏\n\n" + answer
        else:
            return f"Error: {response.json().get('error', 'Unknown error')}"
    finally:
        # Close file handlers to prevent resource leaks
        for file in files.values():
            file.close()

# Gradio interface
iface = gr.Interface(
    fn=get_vastu_advice,
    inputs=[
        gr.Textbox(label="Question"),
        gr.File(type="filepath", label="Upload House Image (JPEG/PNG/PDF)"),
    ],
    outputs=gr.Textbox(label="Vastu Prediction"),
    title="🕉️ AI Vastu Astrologer 🕉️",
    description="Enter your House Structure to get personalized Vastu advice from the AI Guru Vastu. You can upload an image of your house or a blueprint in PDF format."
)

if __name__ == "__main__":
    iface.launch(share=True)