Thanh Vinh Vo commited on
Commit
1e7ef4b
·
1 Parent(s): e8bf78e
Files changed (1) hide show
  1. app.py +3 -5
app.py CHANGED
@@ -205,8 +205,7 @@ class BasicAgent:
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  self.code_agent = CodeAgent(
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  tools=[VisitWebpageTool(), GoogleSearchTool("serper"), get_file, audio_to_text],
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  model=InferenceClientModel(
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- model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
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- temperature=0.0,
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  ),
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  additional_authorized_imports=[
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  "requests",
@@ -235,7 +234,7 @@ class BasicAgent:
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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 search and retrieve Wikipedia pages.
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  2. `pandas` Python package is provided, we should use it to extract table data from Wikipedia pages.
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  """,
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  verbosity_level=0,
@@ -244,8 +243,7 @@ class BasicAgent:
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  self.manager_agent = CodeAgent(
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  model=InferenceClientModel(
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- model_id="Qwen/Qwen2.5-32B-Instruct",
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- temperature=0.0,
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  ),
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  tools=[get_file, audio_to_text],
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  managed_agents=[
 
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  self.code_agent = CodeAgent(
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  tools=[VisitWebpageTool(), GoogleSearchTool("serper"), get_file, audio_to_text],
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  model=InferenceClientModel(
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+ model_id="Qwen/Qwen2.5-Coder-32B-Instruct"
 
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  ),
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  additional_authorized_imports=[
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  "requests",
 
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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 package is provided, we should use it to search and retrieve Wikipedia pages.
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  2. `pandas` Python package is provided, we should use it to extract table data from Wikipedia pages.
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  """,
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  verbosity_level=0,
 
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  self.manager_agent = CodeAgent(
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  model=InferenceClientModel(
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+ model_id="Qwen/Qwen2.5-32B-Instruct"
 
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  ),
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  tools=[get_file, audio_to_text],
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  managed_agents=[