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sustainability_scorer
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# app.py
import gradio as gr
from sustanability_scorer import (
    sustainability_scorer,
    openai_completion,
    HouseFeature,
    encode_image,
)
import json


def combined_function(image):
    base64_image = encode_image(image, output_format="PNG")

    resp = openai_completion(base64_image)  # response in string
    # Convert the response to a dictionary
    house_features = json.loads(resp)
    score = sustainability_scorer(HouseFeature(**house_features))
    return score


with gr.Blocks() as app:
    gr.Markdown("## Sustainability Scorer")

    with gr.Row():
        with gr.Column():
            image_input = gr.Image(
                type="pil",
                label="Upload Image",
            )
            submit_button = gr.Button("Submit")

        with gr.Column():
            score_output = gr.HTML()

    submit_button.click(combined_function, inputs=image_input, outputs=score_output)

    # Add CSS styles
    gr.HTML(
        """
        <style>
        .score_output {
            font-size: 58px;
            font-weight: bold;
            padding: 10px;
            border-radius: 5px;
            background-color: #f4f4f9;
            text-align: center;
            transition: all 0.3s ease;
            margin-top: 20px;
        }
        </style>
        """
    )
    examples = gr.Examples(
        examples=[
            ["example1.png"],
            ["example2.png"],
            ["example3.png"],
        ],
        inputs=image_input,
    )

# interface.launch()
app.launch()