Create app.py

app.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 convert_to_webp(img):
+    # Convert the image to WebP format
+    img_webp = img.convert("RGBA").save("upscaled.webp", format="WEBP")
+    return img_webp
+
+def convert_to_jpg(img):
+    # Convert the image to JPEG format with quality 95
+    img_jpg = img.convert("RGB").save("upscaled.jpg", format="JPEG", quality=95)
+    return img_jpg
+
+def main():
+    st.title("Image Upscaling")
+    st.write("Upload an image and enter a prompt to generate, upscale, and convert the 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, Upscale, and Convert Image"):
+            img = upscale_image("temp_img.png")
+            st.image(img, caption='Generated and Upscaled Image', use_column_width=True)
+
+            # Convert the upscaled image to WebP and JPEG formats
+            img_webp = convert_to_webp(img)
+            img_jpg = convert_to_jpg(img)
+
+            # Add download buttons for the converted images
+            st.markdown(get_binary_file_downloader_html("upscaled.webp", "Download WebP", "webp"), unsafe_allow_html=True)
+            st.markdown(get_binary_file_downloader_html("upscaled.jpg", "Download JPEG", "jpg"))
+
+# Helper function to create download link for binary files
+def get_binary_file_downloader_html(file_path, button_text, file_format):
+    with open(file_path, "rb") as f:
+        file_data = f.read()
+    base64_file = base64.b64encode(file_data).decode("utf-8")
+    download_link = f'<a href="data:image/{file_format};base64,{base64_file}" download="{file_path}">{button_text}</a>'
+    return download_link
+
+if __name__ == "__main__":
+    main()