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Runtime error
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Update app.py
Browse files
app.py
CHANGED
@@ -183,12 +183,8 @@ def process_input():
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'result': result_str
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})
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#
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st.
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# Displaying insights inside an expander to avoid cutoff
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with st.expander("Click to see detailed insights"):
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st.markdown(insights)
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# Append the result DataFrame to the history
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st.session_state.history.append({"role": "assistant", "content": result})
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@@ -204,12 +200,8 @@ def process_input():
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'result': dataset_summary
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})
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st.
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# Displaying recommendations inside an expander to avoid cutoff
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with st.expander("Click to see detailed recommendations"):
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st.markdown(recommendations)
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else:
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# Generate insights based on general insights (without recommendations)
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@@ -218,12 +210,8 @@ def process_input():
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'result': dataset_summary
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})
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#
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st.
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# Displaying insights inside an expander to avoid cutoff
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with st.expander("Click to see detailed insights"):
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st.markdown(insights)
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except Exception as e:
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logging.error(f"An error occurred: {e}")
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@@ -232,19 +220,3 @@ def process_input():
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# Reset the user_input in session state
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st.session_state['user_input'] = ''
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# Display the conversation history
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for message in st.session_state.history:
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if message['role'] == 'user':
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st.markdown(f"**User:** {message['content']}")
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elif message['role'] == 'assistant':
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if isinstance(message['content'], pd.DataFrame):
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st.markdown("**Assistant:** Query Results:")
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st.dataframe(message['content'])
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else:
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st.markdown(f"**Assistant:** {message['content']}")
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# Place the input field at the bottom with the callback
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st.text_input("Enter your message:", key='user_input', on_change=process_input)
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'result': result_str
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})
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# Use st.text_area to avoid text cutoff for long outputs
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st.text_area("Insights", value=insights, height=300)
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# Append the result DataFrame to the history
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st.session_state.history.append({"role": "assistant", "content": result})
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'result': dataset_summary
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})
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# Use st.text_area to avoid text cutoff for long outputs
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st.text_area("Recommendations", value=recommendations, height=300)
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else:
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# Generate insights based on general insights (without recommendations)
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'result': dataset_summary
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})
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# Use st.text_area to avoid text cutoff for long outputs
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st.text_area("Insights", value=insights, height=300)
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except Exception as e:
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logging.error(f"An error occurred: {e}")
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# Reset the user_input in session state
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st.session_state['user_input'] = ''
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