Update app.py

app.py

@@ -14,5 +14,32 @@ def t2i(text):
     image = Image.open('image.png')
     return image
 
-iface = gr.Interface(fn=t2i, inputs="text", outputs=[gr.Image(label="Generated Image")]).launch()
+# Read the image file and encode it as base64
+with open("./1001epochs.png", "rb") as f:
+    image_data = f.read()
+    image_base64 = base64.b64encode(image_data).decode("utf-8")
+
+allow_flagging = "never"
+
+title = f"""
+    <h2 style="background-image: linear-gradient(to right, #3A5FCD, #87CEFA); -webkit-background-clip: text;
+        -webkit-text-fill-color: transparent; text-align: center;">
+        Text to Image Generator
+    </h2>
+"""
+
+description = f"""
+<div style="display: flex; align-items: center; justify-content: center; flex-direction: column;">
+    <p style="font-size: 18px; color: #4AAAFF; text-align: center;">
+        Turn words into captivating visuals effortlessly within minutes.
+    </p>
+    <div style="display: flex; align-items: center; margin-bottom: 0px;">
+        <img src='data:image/jpeg;base64,{image_base64}' width='50' height='30' style="margin-right: 5px;"/>
+        <p style="font-size: 14px; color: #555;">
+            Disclaimer: This web app is for demonstration purposes only and not intended for commercial use. Contact: [email protected] for full solution.
+        </p>
+    </div>
+</div>
+"""
+iface = gr.Interface(fn=t2i, inputs="text", outputs=[gr.Image(label="Generated Image")], title=title, description=description).launch()
 iface.launch(share=True)