Spaces:
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Update backup10.app.py
Browse files- backup10.app.py +80 -25
backup10.app.py
CHANGED
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@@ -324,6 +324,7 @@ def search_glossary(query):
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# π΅οΈββοΈ Searching the glossary for: query
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all_results = ""
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#st.markdown(f"- {query}")
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# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
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client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
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@@ -334,8 +335,11 @@ def search_glossary(query):
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stream_outputs=True,
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api_name="/ask_llm"
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)
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st.markdown(result)
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st.code(result, language="python", line_numbers=True)
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# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
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result2 = client.predict(
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prompt=query,
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@@ -343,8 +347,11 @@ def search_glossary(query):
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stream_outputs=True,
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api_name="/ask_llm"
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)
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st.markdown(result2)
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st.code(result2, language="python", line_numbers=True)
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# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
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result3 = client.predict(
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prompt=query,
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@@ -352,8 +359,11 @@ def search_glossary(query):
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stream_outputs=True,
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api_name="/ask_llm"
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)
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st.markdown(result3)
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st.code(result3, language="python", line_numbers=True)
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# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
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response2 = client.predict(
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message=query, # str in 'parameter_13' Textbox component
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@@ -362,10 +372,42 @@ def search_glossary(query):
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llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
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api_name="/update_with_rag_md"
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)
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st.markdown(response2[0])
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st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
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st.markdown(response2[1])
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st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
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return result, result2, result3, response2
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@@ -610,7 +652,7 @@ def main():
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if documents_to_display:
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# π¨ View options - "Different strokes for different folks"
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view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as
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selected_view = st.sidebar.selectbox("Select Viewer/Editor", view_options, index=2)
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@@ -708,11 +750,9 @@ def main():
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st.error(f"Error deleting document: {str(e)}")
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elif selected_view == 'Show as
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Label = '# βοΈ
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st.markdown(Label)
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st.markdown("#### Edit the document fields below:")
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num_cols = len(documents_to_display)
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cols = st.columns(num_cols)
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@@ -729,33 +769,48 @@ def main():
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editable_doc = doc.copy()
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editable_doc.pop('name', None)
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doc_str = st.text_area("Document Content (in JSON format)",
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value=json.dumps(editable_doc, indent=2),
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height=300,
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key=f'doc_str_{idx}')
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# πΎπ€ Save and AI operations
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with col_save:
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if st.button("πΎ Save Changes", key=f'save_button_{idx}'):
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try:
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updated_doc = json.loads(doc_str)
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updated_doc['id'] = editable_id
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success, message = update_record(container, updated_doc)
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if success:
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st.success(f"Document {updated_doc['id']} saved successfully.")
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st.session_state.selected_document_id = updated_doc['id']
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st.rerun()
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else:
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st.error(message)
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except json.JSONDecodeError as e:
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st.error(f"Invalid JSON: {str(e)} π«")
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with col_ai:
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if st.button("π€ Run AI", key=f'run_with_ai_button_{idx}'):
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elif selected_view == 'Clone Document':
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# π΅οΈββοΈ Searching the glossary for: query
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all_results = ""
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#st.markdown(f"- {query}")
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+
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# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
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client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
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stream_outputs=True,
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api_name="/ask_llm"
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)
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st.markdown("# Mixtral-8x7B-Instruct-v0.1")
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st.markdown(result)
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st.code(result, language="python", line_numbers=True)
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# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
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result2 = client.predict(
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prompt=query,
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stream_outputs=True,
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api_name="/ask_llm"
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)
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st.markdown("# Mistral-7B-Instruct-v0.2")
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st.markdown(result2)
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st.code(result2, language="python", line_numbers=True)
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# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
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result3 = client.predict(
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prompt=query,
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stream_outputs=True,
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api_name="/ask_llm"
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)
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st.markdown("# Gemma-7b-it")
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st.markdown(result3)
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st.code(result3, language="python", line_numbers=True)
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# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
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response2 = client.predict(
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message=query, # str in 'parameter_13' Textbox component
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llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
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api_name="/update_with_rag_md"
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)
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st.markdown("# Mistral-7B-Instruct-v0.2 update_with_rag_md 0")
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st.markdown(response2[0])
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st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
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st.markdown("# Mistral-7B-Instruct-v0.2 update_with_rag_md 1")
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st.markdown(response2[1])
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st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
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# Persist AI Results to Markdown Files
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try:
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filename = generate_filename(result, "md")
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create_file(filename, query, result)
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st.session_state.chat_history.append({"assistant": query, "ArXiV": result})
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except:
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st.markdown('1 error')
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try:
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filename = generate_filename(result2, "md")
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create_file(filename, query, result2)
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st.session_state.chat_history.append({"assistant": query, "ArXiV": result2})
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except:
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st.markdown('2 error')
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try:
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filename = generate_filename(response2[0], "md")
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create_file(filename, query, response2[0])
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st.session_state.chat_history.append({"assistant": query, "ArXiV": response2[0]})
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except:
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st.markdown('3 error')
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try:
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filename = generate_filename(response2[1], "md")
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create_file(filename, query, response2[1])
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st.session_state.chat_history.append({"assistant": query, "ArXiV": response2[1]})
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except:
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st.markdown('4 error')
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return result, result2, result3, response2
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if documents_to_display:
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# π¨ View options - "Different strokes for different folks"
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view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Run AI', 'Clone Document', 'New Record']
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selected_view = st.sidebar.selectbox("Select Viewer/Editor", view_options, index=2)
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st.error(f"Error deleting document: {str(e)}")
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elif selected_view == 'Show as Run AI':
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Label = '# βοΈ Run AI with wisdom, save with precision'
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st.markdown(Label)
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num_cols = len(documents_to_display)
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cols = st.columns(num_cols)
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editable_doc = doc.copy()
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editable_doc.pop('name', None)
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doc_str = st.text_area("Document Content (in JSON format)",
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value=json.dumps(editable_doc, indent=2),
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height=300,
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key=f'doc_str_{idx}')
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# πΎπ€ Save and AI operations
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col_ai, col_delete = st.columns(2)
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with col_ai:
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if st.button("π€ Run AI", key=f'run_with_ai_button_{idx}'):
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# Experiment to get content fields π€π€π€π€π€π€π€π€π€π€π€π€π€
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total_docs = len(documents)
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doc = documents[st.session_state.current_index]
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values_with_space = []
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def extract_values2(obj):
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if isinstance(obj, dict):
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for k, v in obj.items():
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extract_values2(v)
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elif isinstance(obj, list):
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for item in obj:
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extract_values2(item)
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elif isinstance(obj, str):
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if ' ' in obj:
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values_with_space.append(obj)
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extract_values2(doc)
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#st.markdown("#### π Links for Extracted Texts")
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for term in values_with_space:
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display_glossary_entity(term)
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search_glossary(term)
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#content = json.dumps(doc, indent=2)
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#st.markdown(f"```json\n{content}\n```")
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# Experiment to get content fields π€π€π€π€π€π€π€π€π€π€π€π€π€
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#search_glossary(json.dumps(editable_doc, indent=2))
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elif selected_view == 'Clone Document':
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