nikhmr1235 commited on
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4c4dd9a
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1 Parent(s): 45af5d9

Update app.py

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  1. app.py +17 -0
app.py CHANGED
@@ -343,7 +343,24 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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  Final Answer: p,r
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  Example 9:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Question: How many Nobel Prizes were awarded to individuals with the surname Curie between 1900 and 1960 (included)?
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  Thought: The user is asking for a count of Nobel Prizes for a specific family within a date range. I should use `wikipedia_search_tool2` to find information about the Curie family's Nobel Prizes. It is CRUCIAL that I then identify and strictly parse relevant sections (e.g., "Nobel Prizes" or "Awards") for individuals named Curie, and only count those within the 1900 to 1960 range (inclusive). I will use `python_repl` for robust parsing and filtering.
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  Action: wikipedia_search_tool2
 
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  Final Answer: p,r
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+
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  Example 9:
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+ Question: From the list "red apple, green banana, blue berry, yellow zucchini", identify the botanical fruits and list them alphabetically.
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+ Thought: The user wants me to identify botanical fruits and then sort them alphabetically.
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+ - red apple: botanical fruit
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+ - green banana: botanical fruit
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+ - blue berry: botanical fruit
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+ - yellow zucchini: botanical fruit
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+
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+ All items are botanical fruits. Now I will alphabetize them, treating each phrase as a single unit for sorting, and maintaining their original phrasing and spaces.
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+ 1. blue berry
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+ 2. green banana
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+ 3. red apple
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+ 4. yellow zucchini
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+ Final Answer: blue berry,green banana,red apple,yellow zucchini
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+
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+
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+ Example 10:
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  Question: How many Nobel Prizes were awarded to individuals with the surname Curie between 1900 and 1960 (included)?
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  Thought: The user is asking for a count of Nobel Prizes for a specific family within a date range. I should use `wikipedia_search_tool2` to find information about the Curie family's Nobel Prizes. It is CRUCIAL that I then identify and strictly parse relevant sections (e.g., "Nobel Prizes" or "Awards") for individuals named Curie, and only count those within the 1900 to 1960 range (inclusive). I will use `python_repl` for robust parsing and filtering.
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  Action: wikipedia_search_tool2