Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+import plotly.express as px
+
+# Create a function to write the CSV file
+def write_csv(record_count, topic, intervention):
+    df = pd.DataFrame({
+        "RecordCount": [record_count],
+        "Topic": [topic],
+        "Intervention": [intervention]
+    })
+    df.to_csv("records.csv", index=False, mode='a')
+
+# Create a function to plot the data from the CSV file
+def plot_data():
+    df = pd.read_csv("records.csv")
+    fig = px.scatter(df, x="RecordCount", y="Intervention", color="Topic")
+    return fig
+
+# Define the inputs for the Gradio interface
+inputs = [
+    gr.inputs.Slider(label="Record Count", min=0, max=100, default=50),
+    gr.inputs.Textbox(label="Topic"),
+    gr.inputs.Textbox(label="Intervention")
+]
+
+# Define the outputs for the Gradio interface
+outputs = [
+    gr.outputs.Plotly(plot_data),
+    gr.outputs.Textbox(label="Data written to records.csv")
+]
+
+# Create the Gradio interface
+interface = gr.Interface(write_csv, inputs, outputs, title="Record Plotter")
+
+# Launch the Gradio interface
+interface.launch()