Ankur Goyal
commited on
Commit
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87ad231
1
Parent(s):
ab36703
Add loading placeholder
Browse files
app.py
CHANGED
@@ -56,8 +56,13 @@ st.markdown("# DocQuery: Query Documents w/ NLP")
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if "document" not in st.session_state:
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st.session_state["document"] = None
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def load_file_cb():
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if st.session_state.file_input is None:
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@@ -105,20 +110,26 @@ if document is not None:
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colors = ["blue", "red", "green"]
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if document is not None and question is not None and len(question) > 0:
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col2.header("Answers")
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)
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if document is not None:
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col1.image(image, use_column_width='auto')
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if "document" not in st.session_state:
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st.session_state["document"] = None
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input_col, model_col = st.columns(2)
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with input_col:
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input_type = st.radio("Pick an input type", ["Upload", "URL"], horizontal=True)
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with model_col:
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model_type = st.radio("Pick a model", ["Upload", "URL"], horizontal=True)
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def load_file_cb():
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if st.session_state.file_input is None:
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colors = ["blue", "red", "green"]
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if document is not None and question is not None and len(question) > 0:
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col2.header("Answers")
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with col2:
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answers_placeholder = st.empty()
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answers_loading_placeholder = st.empty()
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with answers_loading_placeholder:
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with st.spinner("Processing question..."):
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predictions = run_pipeline(question=question, document=document, top_k=1)
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with answers_placeholder:
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word_boxes = lift_word_boxes(document)
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image = image.copy()
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draw = ImageDraw.Draw(image)
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for i, p in enumerate(ensure_list(predictions)):
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col2.markdown(f"#### { p['answer'] }: ({round(p['score'] * 100, 1)}%)")
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x1, y1, x2, y2 = normalize_bbox(
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expand_bbox(word_boxes[p["start"] : p["end"] + 1]),
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image.width,
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image.height,
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)
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draw.rectangle(((x1, y1), (x2, y2)), outline=colors[i])
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if document is not None:
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col1.image(image, use_column_width='auto')
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