please work

.gitignore

@@ -0,0 +1 @@
+__pycache__/

app.py

@@ -1,11 +1,39 @@
 import gradio as gr
+import joblib
 
+import config
 
-def greet(name):
-    return "Hello " + name + "!"
 
+def update(target_col, model_name):
+    if not target_col:
+        raise gr.Error("Please select a target column and a model")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+    clf = joblib.load("models/lr_undersampling_OfficerRace_Asian.pkl")
+    return f"Welcome to Gradio, {target_col}! Your model is {str(clf)}"
+
+
+with gr.Blocks() as demo:
+    def available_models(target_column_name):
+        print(target_column_name, config.available_models[target_column_name])
+        updated_models_dropdown = gr.Dropdown(choices=config.available_models[target_column_name],
+                                              value=config.available_models[target_column_name][0],
+                                              multiselect=False,
+                                              label=config.model_label)
+        return updated_models_dropdown
+
+
+    gr.Markdown("Start typing below and then click **Run** to see the output.")
+    with gr.Row():
+        target_column_dropdown = gr.Dropdown(choices=config.target_columns,
+                                             multiselect=False,
+                                             label=config.target_label)
+        model_dropdown = gr.Dropdown(choices=[],
+                                     multiselect=False,
+                                     label=config.model_label)
+        target_column_dropdown.input(available_models, target_column_dropdown, model_dropdown)
+        out = gr.Textbox()
+    btn = gr.Button("Predict")
+    btn.click(fn=update, inputs=[target_column_dropdown, model_dropdown], outputs=out)
 
 if __name__ == "__main__":
-    demo.launch(share=True,show_api=False)
+    demo.launch(share=True, show_api=False)

config.py

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+# values
+target_columns = ["Officer Race", "Officer Gender", "Penalty"]
+available_models = {
+    "Officer Race": ["A", "B", "C"],
+    "Officer Gender": ["D", "E", "F"],
+    "Penalty": ["G", "H", "I"]
+}
+
+# labels
+model_label = "Choose a model"
+target_label = "What do you want to predict?"