Update app.py

app.py

@@ -1,5 +1,46 @@
-import gradio as gr 
-title = "Text to image with SDv1.5 in Gradio"
-description = "Type input area your prompt and wait till return an image about your prompt"
-text_to_image = gr.Interface.load("huggingface/runwayml/stable-diffusion-v1-5")
-gr.Interface(fn=text_to_image, inputs="text", outputs="image", title=title, description=description).launch(share=True)
+import requests
+import gradio as gr
+from PIL import Image
+import base64
+
+def t2i(text):
+    prompt_url = f"https://aadarsh-text-to-image-mymvubi2mq-el.a.run.app/t2i/{text}"
+    img_url = requests.get(prompt_url).json()["url"]
+    response = requests.get(img_url)
+    if response.status_code:
+        fp = open('image.png', 'wb')
+        fp.write(response.content)
+        fp.close()
+
+    image = Image.open('image.png')
+    return image
+
+# 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: The purpose of this application is solely for demonstration. 1001epochs does not claim ownership for the results 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)