Create app.py

app.py

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+import gradio as gr
+import requests
+import qrcode
+import io
+from PIL import Image
+import os
+
+# Get the Hugging Face API token from the environment variable
+hf_token = os.environ.get("hf_token")
+
+# Function to generate a QR code from the input URL
+def generate_qr_code(url):
+    qr = qrcode.QRCode(
+        version=1,
+        error_correction=qrcode.constants.ERROR_CORRECT_L,
+        box_size=10,
+        border=4,
+    )
+    qr.add_data(url)
+    qr.make(fit=True)
+
+    qr_img = qr.make_image(fill_color="black", back_color="white")
+    return qr_img
+
+# Function to query the image from the Hugging Face API
+def query_image(text):
+    API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/realistic-vision-v51"
+    headers = {"Authorization": f"Bearer {hf_token}"}
+
+    response = requests.post(API_URL, headers=headers, json={"inputs": text})
+    return response.content
+
+# Gradio app function
+def generate_image(url, text):
+    # Generate QR code
+    qr_img = generate_qr_code(url)
+    
+    # Generate image from Hugging Face API
+    image_bytes = query_image(text)
+    api_image = Image.open(io.BytesIO(image_bytes))
+    
+    # Create a blank image to combine the API image and QR code
+    final_image = Image.new('RGB', (600, 600))
+    final_image.paste(api_image, (0, 0))
+    final_image.paste(qr_img, (400, 400))
+    
+    return final_image
+
+# Inputs and outputs for Gradio interface
+inputs = [
+    gr.Textbox(lines=1, label="URL"),
+    gr.Textbox(lines=2, label="Prompt for Image"),
+]
+output = gr.Image(type="pil", label="Generated Image")
+
+# Gradio app interface
+gr.Interface(fn=generate_image, inputs=inputs, outputs=output, title="QR Code Image Generator", description="Generate an image with a QR code linked to the input URL and an image from the Hugging Face API").launch(theme="soft")