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Fire-DiffusionV0.1Beta
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Fire-DiffusionV0.1Beta
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import streamlit as st
import numpy as np
import PIL.Image
import base64
from io import BytesIO
import os
import requests
import urllib.request


st.write("This app generates photos with the DALL-E Encoder. \n \n To use this app, simply upload a photo and click 'Generate'. \n \n This app is in Alpha so please be patient with it.")
st.title("Photo Editor V1.0")

def generate_image(image_path):
    image = load_image(image_path)
    st.image(image, use_column_width=True, caption="Original Image")

    st.write("Generated image:")
    generated_image = inpaint_image(image_path)
    st.image(generated_image, use_column_width=True, caption="Generated Image")

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)

    # st.write("Generated image:")
    # generated_image = inpaint_image(image)
    # st.image(generated_image, use_column_width=True)


@st.cache
def load_image(image_path):
    image = PIL.Image.open(image_path)

    return np.array(image)

def inpaint_image(image_path):
    # image = PIL.Image.fromarray(image)
    # buffered = BytesIO()
    # image.save(buffered, format="JPEG")
    # encoded_image = base64.b64encode(buffered.getvalue()).decode("utf-8")

    # response = requests.post(
    #     "https://api.deepai.org/api/inpaint",
    #     data={
    #         "image": encoded_image,
    #         "filename": "image.jpg",
    #     },
    #     headers={
    #         "api-key": API_KEY,
    #     },
    # )

    # if response.status_code == 200:
    #     response_json = response.json()
    #     output_url = response_json["output_url"]

    #     response = requests.get(output_url)
    #     image = PIL.Image.open(BytesIO(response.content))
    #     return np.array(image)
    # else:
    #     st.error("Something went wrong. Please try again.")

    url = "https://api.andersonrobotics.com/api/v1/generate"

    payload = {
        "prompt": "a boy and a girl are playing with a ball and a cat and a dog",
        "num_samples": 1,
        "num_return": 1,
        "temperature": 1.0,
        "top_k": 0,
        "top_p": 0.0,
        "model_name": "dall-e"
    }
    files = [
        ('file', open(image_path, 'rb'))
    ]
    headers = {
        'Authorization': "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZSI6ImFkbWluIiwiZW1haWwiOiJhZG1pbkBhbmRlcnNvbnJvY2tldGljcy5jb20iLCJpYXQiOjE1OTYxNzE1MjB9.nHpKW8eNvfZQQbzDmwq7WjzvfzgT9T6DlL-YW8Fv1Zs"
    }

    response = requests.request("POST", url, headers=headers, data = payload, files = files)
    print(response.text.encode('utf8'))

    image_url = response.json()["data"][0]["image"]
    urllib.request.urlretrieve(image_url, "image.png")
    image = load_image("image.png")
    return image


image_file = st.file_uploader("Upload an image", type=['jpg', 'png', 'jpeg'])

if image_file is not None:
    generate_image(image_file)