Create app.py

app.py

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+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!
+""")