init

app.py

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+import gradio as gr
+import pandas as pd
+import random
+
+df = pd.read_csv('data.csv')
+
+
+models = df.columns.tolist()
+print(models)
+models.remove('hash')
+models.remove('message')
+messages = sorted(df['message'].tolist(), key=len)
+messages_select = [(m[:150],m) for m in messages]
+
+def out(message, model1, model2):
+    row = df[df['message'] == message]
+    output1 = row[model1].values[0]
+    output2 = row[model2].values[0]
+    return message, output1, output2
+
+
+with gr.Blocks() as iface:
+    with gr.Row():
+        drop_message = gr.Dropdown(messages_select, label='Prompt', value=random.choice(messages))
+    with gr.Row():
+        drop_model1 = gr.Dropdown(models, label='Model 1', value=random.choice(models))
+        drop_model2 = gr.Dropdown(models, label='Model 2', value=random.choice(models))
+    with gr.Row():
+        btn = gr.Button("Run")
+    with gr.Row():
+        out_message = gr.TextArea(label='Prompt')
+    with gr.Row():
+        out_model1 = gr.TextArea(label='Output Model 1')
+        out_model2 = gr.TextArea(label='Output Model 2')
+
+    btn.click(out,
+    inputs=[drop_message, drop_model1, drop_model2],
+    outputs=[out_message, out_model1, out_model2])
+
+iface.launch()