Thanh Vinh Vo
commited on
Commit
·
72e5b67
1
Parent(s):
d6e8476
update
Browse files
app.py
CHANGED
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@@ -218,12 +218,10 @@ class BasicAgent:
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"PIL",
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"chess",
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"img2text",
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"chess.pgn",
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"PIL.Image",
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"bytes",
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"cv2",
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"numpy",
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"chess.engine",
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"json",
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"whisper",
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"openpyxl",
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@@ -235,11 +233,10 @@ class BasicAgent:
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- Writing code to solve problem.
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- Browse and search the web to find information.
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- Solving chess problems.
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- Parsing Wikipedia pages.
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This agent follows rules below:
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1.
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2. `
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3. `pandas` Python package is provided that makes it easy to extract table data from Wikipedia HTML pages.
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""",
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verbosity_level=0,
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max_steps=10,
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@@ -255,28 +252,12 @@ class BasicAgent:
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self.multimodal_agent,
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self.code_agent],
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additional_authorized_imports=[
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"requests",
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"bs4",
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"markdownify",
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"wikipedia",
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"pandas"
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"io",
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"PIL",
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"chess",
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"img2text",
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"chess.pgn",
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"PIL.Image",
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"bytes",
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"cv2",
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"numpy",
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"chess.engine",
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"json",
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"whisper",
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"youtube_transcript_api",
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"openpyxl",
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],
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planning_interval=5,
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max_steps=
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)
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def __call__(self, question: str, question_id: str, file_name: str) -> str:
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@@ -287,7 +268,6 @@ class BasicAgent:
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"{question}""{file}"
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Please follow rules below:
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1. Take the question literally! Do not add any additional information or assumptions.
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2. `pandas` Python package is provided that makes it easy to extract table data from Wikipedia HTML pages.
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"""
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result = self.manager_agent.run(prompt)
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print(f"Agent responded with: {result}")
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"PIL",
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"chess",
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"img2text",
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"PIL.Image",
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"bytes",
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"cv2",
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"numpy",
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"json",
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"whisper",
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"openpyxl",
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- Writing code to solve problem.
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- Browse and search the web to find information.
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- Solving chess problems.
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- Parsing and extracting data from Wikipedia pages.
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This agent follows rules below:
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1. `wikipedia` Python library is provided, we should use it to interact with Wikipedia pages.
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2. `pandas` Python package is provided, we should use it to extract table data from Wikipedia HTML pages.
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""",
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verbosity_level=0,
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max_steps=10,
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self.multimodal_agent,
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self.code_agent],
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additional_authorized_imports=[
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"markdownify",
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"wikipedia",
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"pandas"
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],
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planning_interval=5,
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+
max_steps=10,
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)
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def __call__(self, question: str, question_id: str, file_name: str) -> str:
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"{question}""{file}"
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Please follow rules below:
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1. Take the question literally! Do not add any additional information or assumptions.
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"""
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result = self.manager_agent.run(prompt)
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print(f"Agent responded with: {result}")
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