Update app.py
Browse files
app.py
CHANGED
@@ -172,10 +172,17 @@ if st.session_state.df is not None:
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context=[analyze_data],
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)
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#
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agents=[sql_dev, data_analyst, report_writer
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tasks=[extract_data, analyze_data, write_report
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process=Process.sequential,
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verbose=True,
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)
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@@ -188,18 +195,23 @@ if st.session_state.df is not None:
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query = st.text_area("Enter Query:", value="Provide insights into the salary of a Principal Data Scientist.")
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if st.button("Submit Query"):
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with st.spinner("Processing query..."):
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#
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main_report =
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conclusion =
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# Step
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st.markdown("### Analysis Report:")
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st.markdown(main_report)
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# Step
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visualizations = []
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fig_salary = px.box(st.session_state.df, x="job_title", y="salary_in_usd",
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@@ -217,12 +229,12 @@ if st.session_state.df is not None:
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title="Salary Distribution by Employment Type")
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visualizations.append(fig_employment)
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# Step
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st.markdown("## π Visual Insights")
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for fig in visualizations:
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st.plotly_chart(fig, use_container_width=True)
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# Step
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st.markdown("## Conclusion")
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st.markdown(conclusion)
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@@ -248,8 +260,7 @@ if st.session_state.df is not None:
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else:
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st.info("Please load a dataset to proceed.")
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# Sidebar Reference
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with st.sidebar:
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st.header("π Reference:")
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st.markdown("[SQL Agents w CrewAI & Llama 3 - Plaban Nayak](https://github.com/plaban1981/Agents/blob/main/SQL_Agents_with_CrewAI_and_Llama_3.ipynb)")
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context=[analyze_data],
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)
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# Crew with separate tasks for report and conclusion
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crew_report = Crew(
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agents=[sql_dev, data_analyst, report_writer],
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tasks=[extract_data, analyze_data, write_report],
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process=Process.sequential,
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verbose=True,
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)
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crew_conclusion = Crew(
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agents=[data_analyst, conclusion_writer],
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tasks=[write_conclusion],
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process=Process.sequential,
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verbose=True,
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)
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query = st.text_area("Enter Query:", value="Provide insights into the salary of a Principal Data Scientist.")
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if st.button("Submit Query"):
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with st.spinner("Processing query..."):
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# Step 1: Generate the main report (without Conclusion)
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report_inputs = {"query": query}
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report_result = crew_report.kickoff(inputs=report_inputs)
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# Step 2: Generate ONLY the Conclusion
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conclusion_inputs = {"query": query}
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conclusion_result = crew_conclusion.kickoff(inputs=conclusion_inputs)
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# Check if results are empty
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main_report = report_result.output if report_result.output else "β οΈ No Report Generated."
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conclusion = conclusion_result.output if conclusion_result.output else "β οΈ No Conclusion Generated."
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# Step 3: Display the main report
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st.markdown("### Analysis Report:")
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st.markdown(main_report)
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# Step 4: Generate relevant visualizations
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visualizations = []
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fig_salary = px.box(st.session_state.df, x="job_title", y="salary_in_usd",
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title="Salary Distribution by Employment Type")
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visualizations.append(fig_employment)
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# Step 5: Insert Visual Insights
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st.markdown("## π Visual Insights")
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for fig in visualizations:
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st.plotly_chart(fig, use_container_width=True)
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# Step 6: Append the Conclusion
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st.markdown("## Conclusion")
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st.markdown(conclusion)
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else:
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st.info("Please load a dataset to proceed.")
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# Sidebar Reference
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with st.sidebar:
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st.header("π Reference:")
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st.markdown("[SQL Agents w CrewAI & Llama 3 - Plaban Nayak](https://github.com/plaban1981/Agents/blob/main/SQL_Agents_with_CrewAI_and_Llama_3.ipynb)")
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