test

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+import pyterrier as pt
+pt.init()
+from pyterrier_doc2query import Doc2Query
+
+doc2query = Doc2Query()
+
+def predict(input_df):
+  return input_df
+
+gr.Interface(
+    predict,
+    inputs=gr.Dataframe(
+            headers=["docno", "text"],
+            datatype=["str", "str"],
+            row_count=5,
+            col_count=(2, "fixed"),
+        ),
+    outputs="dataframe",
+    title="pyterrier_doc2query",
+).launch()

requirements.txt

@@ -0,0 +1,4 @@
+python-terrier
+ir_datasets
+ir_measures
+git+https://github.com/terrierteam/pyterrier_doc2query