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Update app_web.py
Browse files- app_web.py +3 -3
app_web.py
CHANGED
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@@ -127,7 +127,7 @@ def render_landing_page():
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investments = analyze_investments()
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c2vc = {}
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for vc in pol_geo_ref["value_chain"].unique()
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status.update(label=f'Analyzing committment to {vc} production...')
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prompt = f"Look up and retrieve all relevant information on {vc} production in {country} from the knowledgebase."
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qu_result = understand_query(prompt, cfg)
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@@ -641,7 +641,7 @@ def render_db():
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row3 = st.container()
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with row0[0]:
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st.markdown(f"#### Pillar 1: Value Chain
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score_cols = ["value_chain", "trend", "strategic_importance_score",
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"institutional_committment_score", "trend_normalized",
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"strategic_importance_normalized", "institutional_commitment_normalized"]
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@@ -671,7 +671,7 @@ def render_db():
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# )}
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)
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with row0[1]:
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st.markdown(f"#### Pillar 1: Investment
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investment_rename_cols = {
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"investments":"Investment",
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"time_to_impact":"Time to Impact",
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investments = analyze_investments()
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c2vc = {}
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for vc in pol_geo_ref["value_chain"].unique():
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status.update(label=f'Analyzing committment to {vc} production...')
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prompt = f"Look up and retrieve all relevant information on {vc} production in {country} from the knowledgebase."
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qu_result = understand_query(prompt, cfg)
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row3 = st.container()
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with row0[0]:
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st.markdown(f"#### Pillar 1: Value Chain Alignment with Political Incentives")
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score_cols = ["value_chain", "trend", "strategic_importance_score",
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"institutional_committment_score", "trend_normalized",
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"strategic_importance_normalized", "institutional_commitment_normalized"]
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# )}
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)
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with row0[1]:
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st.markdown(f"#### Pillar 1: Investment Alignment with Political Incentives")
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investment_rename_cols = {
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"investments":"Investment",
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"time_to_impact":"Time to Impact",
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