Update app.py

app.py

@@ -11,18 +11,21 @@ from inference import generate_image_from_text, generate_image_from_text_with_pe
 css = read_css_from_file("style.css")
 
 DESCRIPTION = '''
-    <div id="content_align">
-        <span style="color:darkred;font-size:32px:font-weight:bold">
-        EfficientCLIP-GAN Models Image Generation Demo
-        </span>
-    </div>
-    <div id="content_align">
-        <span style="color:blue;font-size:16px:font-weight:bold">
-        Generate images directly from text prompts
-        </span>
-    </div>
-    <div id="content_align" style="margin-top: 10px;">
-    </div>
+<div id="content_align">
+  <span style="color:darkred;font-size:32px;font-weight:bold">  
+    WordCraft : Visuals from Verbs
+  </span>
+</div>
+<div id="content_align">
+  <span style="color:blue;font-size:16px;font-weight:bold">  
+    A small, lightining fast efficient AI image generator. <br><br>
+    This 💻 demo uses the EfficientCLIP-GAN model which is trained on CUB dataset 🐦🐥. 
+    <br>Keep your prompt coherent to the birds domain.
+    <br>If you like the demo, don't forget to click on the like 💖 button.
+  </span>
+</div>
+<div id="content_align" style="margin-top: 10px;">
+</div>
 '''
 
 # Creating Gradio interface
@@ -36,12 +39,12 @@ with gr.Blocks(css=css) as app:
 
     with gr.Row():
         with gr.Column():
-            image_output1 = gr.Image(type="pil", format = "jpeg", label="Generated Image 1")
-            image_output2 = gr.Image(type="pil", format = "jpeg", label="Generated Image 2")
+            image_output1 = gr.Image(label="Generated Image 1")
+            image_output2 = gr.Image(label="Generated Image 2")
 
         with gr.Column():
-            image_output3 = gr.Image(type="pil", format = "jpeg", label="Generated Image 3")
-            image_output4 = gr.Image(type="pil", format = "jpeg", label="Generated Image 4")
+            image_output3 = gr.Image(label="Generated Image 3")
+            image_output4 = gr.Image(label="Generated Image 4")
 
     generate_button.click(generate_image_from_text, inputs=[text_prompt], outputs=[image_output1, image_output2, image_output3, image_output4])