Spaces:
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Sleeping
remove defined bullets from base prompt
Browse files- appStore/__pycache__/rag.cpython-310.pyc +0 -0
- appStore/__pycache__/target.cpython-310.pyc +0 -0
- appStore/rag.py +8 -3
- appStore/target.py +1 -1
- docStore/.DS_Store +0 -0
appStore/__pycache__/rag.cpython-310.pyc
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Binary files a/appStore/__pycache__/rag.cpython-310.pyc and b/appStore/__pycache__/rag.cpython-310.pyc differ
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appStore/__pycache__/target.cpython-310.pyc
CHANGED
Binary files a/appStore/__pycache__/target.cpython-310.pyc and b/appStore/__pycache__/target.cpython-310.pyc differ
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appStore/rag.py
CHANGED
@@ -18,8 +18,8 @@ def get_prompt(context, label):
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base_prompt="Summarize the following context efficiently in bullet points, the less the better- but keep concrete goals. \
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Summarize only activities that address the vulnerability of "+label+" to climate change. \
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Formatting example: \
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-
-
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-
-
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"
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# Add the meta data for references
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@@ -28,7 +28,12 @@ def get_prompt(context, label):
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return prompt
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-
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# # convert df rows to Document object so we can feed it into the summarizer easily
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# def get_document(df):
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# # we take a list of each extract
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base_prompt="Summarize the following context efficiently in bullet points, the less the better- but keep concrete goals. \
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Summarize only activities that address the vulnerability of "+label+" to climate change. \
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Formatting example: \
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+
- Bullet point 1 \
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+
- Bullet point 2 \
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"
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# Add the meta data for references
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return prompt
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+
# base_prompt="Summarize the following context efficiently in bullet points, the less the better- but keep concrete goals. \
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+
# Summarize only activities that address the vulnerability of "+label+" to climate change. \
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+
# Formatting example: \
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# - Collect and utilize gender-disaggregated data to inform and improve climate change adaptation efforts. \
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# - Prioritize gender sensitivity in adaptation options, ensuring participation and benefits for women, who are more vulnerable to climate impacts. \
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# "
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# # convert df rows to Document object so we can feed it into the summarizer easily
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# def get_document(df):
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# # we take a list of each extract
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appStore/target.py
CHANGED
@@ -87,7 +87,7 @@ def target_display():
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# Assign dataframe a name
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df = st.session_state['key2']
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-
st.write(df)
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### RAG Output by group ##
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# Assign dataframe a name
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df = st.session_state['key2']
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# st.write(df)
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### RAG Output by group ##
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docStore/.DS_Store
ADDED
Binary file (6.15 kB). View file
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