update

app.py

@@ -60,9 +60,12 @@ Question: {questions}.
 Reward per question: {reward}"""
 
 
-
+gr.Markdown(
+    """
+    # T2I Adherence Scorer based on Davidsonian Scene Graph
+    """
+)
 description = """
-<p align="center">T2I Adherence Scorer based on Davidsonian Scene Graph</p>
 <p><center>
 <a href="https://arxiv.org/abs/2310.18235A" target="_blank">[Original Paper]</a>
 <a href="https://github.com/toilaluan" target="_blank">[My Github]</a>
@@ -71,13 +74,24 @@ description = """
 </center></p>
 """
 
+css = '''
+#gen_btn{height: 100%}
+#title{text-align: center}
+#title h1{font-size: 3em; display:inline-flex; align-items:center}
+#title img{width: 100px; margin-right: 0.5em}
+#gallery .grid-wrap{height: 10vh}
+'''
+
 # Define the Gradio interface
 interface = gr.Interface(
     fn=process_image, 
     inputs=[gr.Image(type="pil", label="Input Image"), gr.Textbox(label="Enter your prompt")], 
     outputs=[gr.Image(type="pil", label="Graph Score Image", format="png"), gr.Textbox(label="Analyzed Result")],
     theme=gr.themes.Soft(),
-    description=description
+    description=description,
+    examples = ["input_image.png", "a cute white cat with blue eyes is standing in the jungle"],
+    css=css,
+    cache_examples=True
 )
 
 # Launch the Gradio app

scorer.py

@@ -323,7 +323,7 @@ Each tuple contains the following information:
         self,
         questions: list[str],
         dependencies: dict[list],
-        images: list[str],
+        images: list,
         mode="hybrid",
     ):
         """Get reward for the generated questions use structured question graph.