import gradio as gr
import requests
from PIL import Image
from io import BytesIO

# Function to upload the image to the Hugging Face model
def upload_image(image):
    # Send the image to Hugging Face
    response = requests.post(
        "https://api.deepai.org/api/analyze-image",
        files={"image": image},
        headers={"api-key": "YOUR_HUGGING_FACE_API_KEY"}
    )

    # Parse the response and get the result
    result = response.json()
    prediction = result.get("output", "Error")

    return prediction

# Gradio interface
iface = gr.Interface(
    fn=upload_image,
    inputs=gr.Image(type="pil", label="Upload Image"),
    outputs="text"
)

# Launch the Gradio app
iface.launch()