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Fix model initiation
Browse files- community_tools.py +1 -4
- mini_agents.py +23 -11
community_tools.py
CHANGED
@@ -1,9 +1,6 @@
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from langchain_google_community import GooglePlacesTool
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from langchain_community.agent_toolkits.load_tools import load_tools
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from smolagents.tools import Tool
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import os
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os.environ["GPLACES_API_KEY"] = "AIzaSyBpYITz-7liGXiXF-bpkjMFsmDoyRp0YXc"
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google_map_tool = Tool.from_langchain(GooglePlacesTool())
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from langchain_google_community import GooglePlacesTool
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from langchain_community.agent_toolkits.load_tools import load_tools
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from smolagents.tools import Tool
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google_map_tool = Tool.from_langchain(GooglePlacesTool())
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mini_agents.py
CHANGED
@@ -19,8 +19,8 @@ MODEL_CHOICES = {
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}
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audio_model = InferenceClientModel(
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api_url="https://api.openai.com/v1/audio/transcriptions"
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)
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@@ -33,8 +33,8 @@ audio_agent = CodeAgent(
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)
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vlm_model = InferenceClientModel(
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api_url="https://api.openai.com/v1/images/generations"
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)
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@@ -47,8 +47,8 @@ vlm_agent = CodeAgent(
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)
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arithmetic_model = InferenceClientModel(
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api_url="https://api.openai.com/v1/chat/completions"
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)
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@@ -61,8 +61,8 @@ arithmetic_agent = CodeAgent(
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)
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pandas_model = InferenceClientModel(
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api_url="https://api.openai.com/v1/chat/completions"
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)
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@@ -74,8 +74,14 @@ pandas_agent = CodeAgent(
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description="This agent is responsible for converting data to a dataframe, performing pandas operations on such dataframe and converting the dataframe back to a json or a csv file."
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)
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multimodal_manager = CodeAgent(
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model=
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managed_agents=[audio_agent, vlm_agent],
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tools=[sort_list],
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max_steps=8,
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@@ -85,7 +91,7 @@ multimodal_manager = CodeAgent(
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)
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operation_manager = CodeAgent(
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model=
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managed_agents=[arithmetic_agent, pandas_agent],
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tools=[sort_list],
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max_steps=8,
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@@ -94,8 +100,14 @@ operation_manager = CodeAgent(
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description="This agent is responsible for managing the arithmetic and pandas agents."
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)
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master_agent = CodeAgent(
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model=
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managed_agents=[multimodal_manager, operation_manager],
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tools=[sort_list, *community_tools],
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max_steps=16,
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}
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audio_model = InferenceClientModel(
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model_id=MODEL_CHOICES["audio"][0],
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token=os.getenv("HUGGINGFACE_API_KEY"),
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api_url="https://api.openai.com/v1/audio/transcriptions"
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)
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)
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vlm_model = InferenceClientModel(
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model_id=MODEL_CHOICES["vlm"][0],
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token=os.getenv("HUGGINGFACE_API_KEY"),
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api_url="https://api.openai.com/v1/images/generations"
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)
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)
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arithmetic_model = InferenceClientModel(
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model_id=MODEL_CHOICES["arithmetic"][0],
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token=os.getenv("HUGGINGFACE_API_KEY"),
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api_url="https://api.openai.com/v1/chat/completions"
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)
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)
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pandas_model = InferenceClientModel(
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model_id=MODEL_CHOICES["pandas"][0],
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token=os.getenv("HUGGINGFACE_API_KEY"),
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api_url="https://api.openai.com/v1/chat/completions"
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)
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description="This agent is responsible for converting data to a dataframe, performing pandas operations on such dataframe and converting the dataframe back to a json or a csv file."
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)
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code_model = InferenceClientModel(
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model_id=MODEL_CHOICES["code"][0],
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token=os.getenv("HUGGINGFACE_API_KEY"),
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api_url="https://api.openai.com/v1/chat/completions"
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)
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multimodal_manager = CodeAgent(
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model=code_model,
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managed_agents=[audio_agent, vlm_agent],
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tools=[sort_list],
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max_steps=8,
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)
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operation_manager = CodeAgent(
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model=code_model,
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managed_agents=[arithmetic_agent, pandas_agent],
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tools=[sort_list],
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max_steps=8,
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description="This agent is responsible for managing the arithmetic and pandas agents."
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)
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master_model = InferenceClientModel(
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model_id=MODEL_CHOICES["master"][0],
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token=os.getenv("HUGGINGFACE_API_KEY"),
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api_url="https://api.openai.com/v1/chat/completions"
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)
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master_agent = CodeAgent(
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model=master_model,
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managed_agents=[multimodal_manager, operation_manager],
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tools=[sort_list, *community_tools],
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max_steps=16,
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