Create main.py

main.py

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+import streamlit as st
+import replicate
+import os
+import requests
+from PIL import Image
+from io import BytesIO
+
+# Set up environment variables for Replicate and Stability AI API Tokens
+os.environ['REPLICATE_API_TOKEN'] = 'r8_3V5WKOBwbbuL0DQGMliP0972IAVIBo62Lmi8I'  # Replace with your actual Replicate API token
+os.environ['STABILITY_KEY'] = 'sk-GBmsWR78MmCSAWGkkC1CFgWgE6GPgV00pNLJlxlyZWyT3QQO'  # Replace with your actual Stability AI API key
+
+def upscale_image(image_path):
+    # Open the image file
+    with open(image_path, "rb") as img_file:
+        # Upscale the image using Stability AI's API and Stable Diffusion 4x Upscaler
+        stability_api_url = "https://api.stability.ai/v1/image-upscaling"
+        headers = {
+            'Authorization': f'Bearer {os.environ["STABILITY_KEY"]}',
+        }
+        files = {
+            'image': img_file,
+            'upscaler': 'stable-diffusion-x4-latent-upscaler',
+        }
+        response = requests.post(stability_api_url, headers=headers, files=files)
+
+        # Retrieve the upscaled image from the response
+        img = Image.open(BytesIO(response.content))
+        img.save("upscaled.png")  # Save the upscaled image
+        return img
+
+def main():
+    st.title("Image Upscaling")
+    st.write("Upload an image and enter a prompt to generate and upscale an image.")
+
+    uploaded_file = st.file_uploader("Choose an image...", type="png")
+    prompt = st.text_input("Enter a prompt for image generation")
+
+    if uploaded_file is not None and prompt:
+        with open("temp_img.png", "wb") as f:
+            f.write(uploaded_file.getbuffer())
+        st.success("Uploaded image successfully!")
+        if st.button("Generate and Upscale Image"):
+            img = upscale_image("temp_img.png")
+            st.image(img, caption='Generated and Upscaled Image', use_column_width=True)
+
+if __name__ == "__main__":
+    main()