app.py

import gradio as gr
import requests
import os

# Get Hugging Face API key from the secret you just saved
API_URL = "https://api-inference.huggingface.co/models/TripoSR/TripoSR"
headers = {"Authorization": f"Bearer {os.getenv('HF_API_KEY')}"}

def generate_3d(image):
    try:
        with open(image, "rb") as f:
            response = requests.post(API_URL, headers=headers, files={"file": f})
        if response.status_code == 200:
            # Save the model locally
            output_path = "output.glb"
            with open(output_path, "wb") as out_file:
                out_file.write(response.content)
            return output_path  # Gradio will let user download it
        else:
            return f"Error: {response.text}"
    except Exception as e:
        return f"An error occurred: {str(e)}"


iface = gr.Interface(
    fn=generate_3d,
    inputs=gr.Image(type="filepath", label="Upload 2D Image"),
    outputs="file",  # change here
    title="Scan Spectrum - 2D to 3D Converter",
    description="Upload any 2D image to generate a realistic 3D model you can download.",
)


iface.launch()