update

app.py

@@ -1,7 +1,8 @@
+import pandas as pd
 import gradio as gr
 from pyterrier_doc2query import Doc2Query
 
-doc2query = Doc2Query()
+doc2query = Doc2Query('macavaney/doc2query-t5-base-msmarco', append=True, num_samples=5)
 
 def df2code(df):
   rows = []
@@ -28,6 +29,10 @@ doc2query({df2code(input)})
 '''
   return (doc2query(input), code)
 
+example_inp = pd.DataFrame([
+  {'docno': '0', 'text': 'The presence of communication amid scientific minds was equally important to the success of the Manhattan Project as scientific intellect was. The only cloud hanging over the impressive achievement of the atomic researchers and engineers is what their success truly meant; hundreds of thousands of innocent lives obliterated.'}
+])
+
 gr.Interface(
     predict,
     inputs=[gr.Dataframe(
@@ -37,33 +42,33 @@ gr.Interface(
       row_count=1,
       wrap=True,
       label='Pipeline Input',
-      value=[['0', 'The presence of communication amid scientific minds was equally important to the success of the Manhattan Project as scientific intellect was. The only cloud hanging over the impressive achievement of the atomic researchers and engineers is what their success truly meant; hundreds of thousands of innocent lives obliterated.']],
+      value=example_inp,
     ), gr.Dropdown(
       choices=['macavaney/doc2query-t5-base-msmarco'],
       value='macavaney/doc2query-t5-base-msmarco',
       label='Model',
       interactive=False,
     ), gr.Checkbox(
-      value=False,
+      value=doc2query.append,
       label="Append",
     ), gr.Slider(
       minimum=1,
       maximum=10,
-      value=3,
+      value=doc2query.num_samples,
       step=1.,
       label='# Queries'
     )],
     outputs=[gr.Dataframe(
       headers=["docno", "text", "querygen"],
       datatype=["str", "str", "str"],
-      col_count=(3, "fixed"),
+      col_count=3,
       row_count=1,
       wrap=True,
       label='Pipeline Output',
-      value=[["[docno]", "[text]", "[querygen]"]],
+      value=doc2query(example_inp),
     ), gr.Markdown()],
     title="🐕 PyTerrier: Doc2Query",
     description=open('README.md', 'rt').read().split('---\n')[-1],
     allow_flagging='never',
     css="table.font-mono td { white-space: pre-line; }",
-).launch()
+).launch(share=False)