Spaces:
Running
Running
File size: 2,472 Bytes
786fe91 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
import streamlit as st
from PIL import Image, ImageDraw, ImageFont
import io
import requests
from transformers import pipeline
# Initialize the AI model for image generation or editing
# This uses HuggingFace's Stable Diffusion pipeline
stability_pipeline = pipeline("image-to-image", model="stabilityai/stable-diffusion-2-inpainting")
# Function to edit the image based on the command
def process_command(image, command):
"""
Processes the command and modifies the image using AI tools.
:param image: PIL Image object
:param command: Natural language command (e.g., "Add a cat in the bottom-right corner.")
:return: Edited PIL Image
"""
# Convert the image to bytes for the AI model
img_byte_arr = io.BytesIO()
image.save(img_byte_arr, format='PNG')
img_byte_arr = img_byte_arr.getvalue()
# Use the Stable Diffusion pipeline to modify the image
result = stability_pipeline(images=image, prompt=command)
edited_image = result[0]['image']
return edited_image
# Streamlit App Interface
st.title("AI-Powered Image Editing")
st.write("Upload an image, enter a command, and let AI handle the editing!")
# Step 1: Upload Image
uploaded_file = st.file_uploader("Upload an image to edit", type=["jpg", "jpeg", "png"])
if uploaded_file:
# Open the uploaded image
input_image = Image.open(uploaded_file).convert("RGB")
st.image(input_image, caption="Uploaded Image", use_column_width=True)
# Step 2: Enter a Command
command = st.text_input("Enter a command to edit the image (e.g., 'Add a tree in the background')")
if st.button("Process Command"):
if command:
# Step 3: Process the Command
try:
with st.spinner("Processing your command..."):
edited_image = process_command(input_image, command)
# Step 4: Display the Edited Image
st.image(edited_image, caption="Edited Image", use_column_width=True)
except Exception as e:
st.error(f"Error processing the image: {e}")
else:
st.warning("Please enter a command.")
# Instructions for the user
st.write("""
### How to use this app:
1. Upload an image in JPG or PNG format.
2. Enter a natural language command like:
- "Add a cat to the bottom-right corner."
- "Remove the text from the top-left corner."
- "Make the background cloudy."
3. Click "Process Command" and view the results!
""")
|