Spaces:
Sleeping
Sleeping
remove show_annotations checkbox
Browse files- streamlit_app.py +15 -20
streamlit_app.py
CHANGED
@@ -308,17 +308,17 @@ with st.sidebar:
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# Add a checkbox for showing annotations
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# st.session_state['show_annotations'] = st.checkbox("Show annotations", value=True)
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-
st.session_state['should_show_annotations'] = st.checkbox("Show annotations", value=True)
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-
chunk_size = st.slider("
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help="Size of chunks in which the document
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disabled=uploaded_file is not None)
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if chunk_size == -1:
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-
context_size = st.slider("Context size", 3, 20, value=10,
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help="Number of paragraphs to consider when answering a question",
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disabled=not uploaded_file)
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else:
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context_size = st.slider("Context size", 3, 10, value=4,
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help="Number of chunks to consider when answering a question",
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disabled=not uploaded_file)
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@@ -437,7 +437,8 @@ with right_column:
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for i, color in enumerate(gradients):
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for annotation in annotations[i]:
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annotation['color'] = color
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-
st.session_state['annotations'] = [annotation for annotation_doc in annotations for annotation in
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if not text_response:
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st.error("Something went wrong. Contact Luca Foppiano ([email protected]) to report the issue.")
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@@ -456,26 +457,20 @@ with right_column:
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st.write(text_response)
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st.session_state.messages.append({"role": "assistant", "mode": mode, "content": text_response})
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# if len(st.session_state.messages) > 1:
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# last_answer = st.session_state.messages[len(st.session_state.messages)-1]
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# if last_answer['role'] == "assistant":
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# last_question = st.session_state.messages[len(st.session_state.messages)-2]
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# st.session_state.memory.save_context({"input": last_question['content']}, {"output": last_answer['content']})
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-
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elif st.session_state.loaded_embeddings and st.session_state.doc_id:
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play_old_messages()
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with left_column:
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if st.session_state['binary']:
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if st.session_state['should_show_annotations']:
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-
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width=600,
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height=800,
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annotation_outline_size=2,
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annotations=st.session_state['annotations'])
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else:
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-
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-
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# Add a checkbox for showing annotations
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# st.session_state['show_annotations'] = st.checkbox("Show annotations", value=True)
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+
# st.session_state['should_show_annotations'] = st.checkbox("Show annotations", value=True)
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+
chunk_size = st.slider("Text chunks size", -1, 2000, value=-1,
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help="Size of chunks in which split the document. -1: use paragraphs, > 0 paragraphs are aggregated.",
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disabled=uploaded_file is not None)
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if chunk_size == -1:
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context_size = st.slider("Context size (paragraphs)", 3, 20, value=10,
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help="Number of paragraphs to consider when answering a question",
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disabled=not uploaded_file)
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else:
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context_size = st.slider("Context size (chunks)", 3, 10, value=4,
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help="Number of chunks to consider when answering a question",
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disabled=not uploaded_file)
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for i, color in enumerate(gradients):
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for annotation in annotations[i]:
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annotation['color'] = color
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st.session_state['annotations'] = [annotation for annotation_doc in annotations for annotation in
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annotation_doc]
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if not text_response:
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st.error("Something went wrong. Contact Luca Foppiano ([email protected]) to report the issue.")
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st.write(text_response)
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st.session_state.messages.append({"role": "assistant", "mode": mode, "content": text_response})
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elif st.session_state.loaded_embeddings and st.session_state.doc_id:
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play_old_messages()
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with left_column:
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if st.session_state['binary']:
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# if st.session_state['should_show_annotations']:
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pdf_viewer(input=st.session_state['binary'],
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width=600,
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height=800,
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annotation_outline_size=2,
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annotations=st.session_state['annotations'])
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# else:
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# pdf_viewer(input=st.session_state['binary'],
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# width=600,
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# height=800,
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# annotation_outline_size=2
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# )
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