Update demo.py

demo.py

@@ -1,72 +1,88 @@
 import gradio as gr
+import spaces
+
+
+# TOKENIZER = 
+# MINIMUM_TOKENS = 64
+
+# def count_tokens(text):
+#     return len(TOKENIZER(text).input_ids)
+
 
 # Mock function for testing layout
 def run_test_power(model_name, real_text, generated_text, N=10):
     return f"Prediction: Human (Mocked for {model_name})"
 
-# CSS to adjust layout for the text boxes and dropdown
-css = """
-#header {
-    text-align: center;
-    font-size: 3em;
-    margin-bottom: 20px;
-}
 
-#output-text {
-    font-weight: bold;
-    font-size: 1.2em;
-    text-align: center; /* Center the text inside the box */
-}
 
-/* Flex container for centering output-text */
-.center-container {
-    display: flex;
-    flex-direction: column;
-    justify-content: center;
-    align-items: center;
-    height: 400px; /* Set a fixed height for the container */
-    margin-top: 20px; /* Add some space above the container */
-    margin-bottom: 20px; /* Add some space below the container */
-}
+# Change mode name
+#def change_mode(mode):
+#    if mode == "Faster Model":
+#        .change_mode("t5-small")
+#    elif mode == "Medium Model":
+#        .change_mode("roberta-base-openai-detector")
+#    elif mode == "Powerful Model":
+#        .change_mode("falcon-rw-1b")
+#    else:
+#        gr.Error(f"Invaild mode selected.")
+#    return mode
 
-.links {
-    display: flex;
-    justify-content: flex-end;
-    gap: 10px;
-    margin-right: 10px;
+
+
+css = """
+#header { text-align: center; font-size: 3em; margin-bottom: 20px; }
+#output-text { font-weight: bold; font-size: 1.2em; }
+.links { 
+    display: flex; 
+    justify-content: flex-end; 
+    gap: 10px; 
+    margin-right: 10px; 
     align-items: center;
 }
-
 .separator {
     margin: 0 5px;
     color: black;
 }
 
-/* Adjusting layout for Input Text */
-.input-text {
+/* Adjusting layout for Input Text and Inference Result */
+.input-row {
+    display: flex;
     width: 100%;
-    height: 100px;
-    font-size: 1em;
+}
+
+.input-text {
+    flex: 3;  /* 4 parts of the row */
+    margin-right: 1px;
+}
+
+.output-text {
+    flex: 1;  /* 1 part of the row */
 }
 
 /* Set button widths to match the Select Model width */
 .button {
-    width: 250px; /* Same as the select box width */
-    height: 100px; /* Button height */
+    width: 250px;  /* Same as the select box width */
+    height: 100px;  /* Button height */
 }
 
 /* Set height for the Select Model dropdown */
 .select {
-    height: 100px; /* Set height to 100px */
+    height: 100px;  /* Set height to 100px */
 }
 
 /* Accordion Styling */
 .accordion {
-    width: 100%; /* Set the width of the accordion to match the parent */
-    max-height: 200px; /* Set a max-height for accordion */
-    overflow-y: auto; /* Allow scrolling if the content exceeds max height */
-    margin-bottom: 10px; /* Add space below the accordion */
-    box-sizing: border-box; /* Ensure padding is included in width/height */
+    width: 100%;  /* Set the width of the accordion to match the parent */
+    max-height: 200px;  /* Set a max-height for accordion */
+    overflow-y: auto;  /* Allow scrolling if the content exceeds max height */
+    margin-bottom: 10px;  /* Add space below accordion */
+    box-sizing: border-box;  /* Ensure padding is included in width/height */
+}
+
+/* Accordion content max-height */
+.accordion-content {
+    max-height: 200px;  /* Limit the height of the content */
+    overflow-y: auto;  /* Add a scrollbar if content overflows */
 }
 """
 
@@ -91,11 +107,11 @@ with gr.Blocks(css=css) as app:
             lines=8,
             elem_classes=["input-text"],  # Applying the CSS class
         )
-    with gr.Row(elem_classes=["center-container"]):  # Parent container for centering
         output = gr.Textbox(
             label="Inference Result",
             placeholder="Made by Human or AI",
             elem_id="output-text",
+            elem_classes=["output-text"],
         )
     with gr.Row():
         model_name = gr.Dropdown(
@@ -114,13 +130,13 @@ with gr.Blocks(css=css) as app:
     submit_button.click(run_test_power, inputs=[model_name, input_text, input_text], outputs=output)
     clear_button.click(lambda: ("", ""), inputs=[], outputs=[input_text, output])
 
-    with gr.Accordion("Disclaimer", open=False):
+    with gr.Accordion("Disclaimer", open=False, elem_classes=["accordion"]):
         gr.Markdown("""
         - **Disclaimer**: This tool is for demonstration purposes only. It is not a foolproof AI detector.
         - **Accuracy**: Results may vary based on input length and quality.
         """)
 
-    with gr.Accordion("Citations", open=False):
+    with gr.Accordion("Citations", open=False, elem_classes=["accordion"]):
         gr.Markdown("""
         ```
         @inproceedings{zhangs2024MMDMP,
@@ -132,4 +148,4 @@ with gr.Blocks(css=css) as app:
         ```
         """)
 
-app.launch()
+app.launch()