Create Bare Interface

app.py

@@ -0,0 +1,57 @@
+import gradio as gr
+
+def run_evaluation(dataset_id, methodology):
+    return f'Running evaluation for {dataset_id} with {methodology}'
+
+    if methodology == 'A':
+        run_a(dataset_id)
+    elif methodology == 'B':
+        run_b(dataset_id)
+    elif methodology == 'C':
+        run_c(dataset_id)
+    
+
+demo = gr.Blocks(theme=gr.themes.Soft())
+
+with demo:
+    gr.Markdown("# BiasAware: Dataset Bias Detection")
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            gr.Markdown("Select a dataset to analyze")
+
+            dataset_id = gr.Text(label="Dataset")
+            gr.Examples(
+                examples=["imdb", "amazon_reviews_multi", "tweet_eval"],
+                fn=run_evaluation,
+                inputs=[dataset_id]
+            )
+
+            methodology = gr.Dropdown(["Term Identity Diversity Analysis", "Textual Gender Label Evaluation", "GenBit"], label="Methodology")
+
+            button = gr.Button("Run Evaluation")
+
+        with gr.Column(scale=4):
+            gr.Markdown("### Results")
+
+            with gr.Box():
+                methodology_title = gr.Markdown("### Identity Term Sampling")
+                methodology_description = gr.Markdown("lorem ipsum")
+            
+            methodology_test_description = gr.Markdown("lorem ipsum")
+            outputs = gr.Markdown()
+            gr.Error("No results to display")
+        
+    methodology.change(
+        fn=lambda x: (f'### {x}', "lorem ipseum", "lorem ipsum"),
+        inputs=[methodology],
+        outputs=[methodology_title, methodology_description, methodology_test_description]
+    )
+
+    button.click(
+        fn=run_evaluation,
+        inputs=[dataset_id, methodology],
+        outputs=[outputs]
+    )
+
+demo.launch()