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Update app.py
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app.py
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@@ -18,26 +18,27 @@ hub_stats_tool = HubStatsTool()
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# Load the guest dataset and initialize the guest info tool
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guest_info_tool = load_guest_dataset()
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#
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model=model,
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add_base_tools=True, # Add any additional base tools
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planning_interval=3 # Enable planning every 3 steps
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)
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# Wrapper function to handle agent responses and format for GradioUI
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def process_agent_response(user_input):
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# Run the agent with reset=False to maintain conversation memory
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response = alfred.run(user_input, reset=False)
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# Convert response to a string if it’s a dictionary
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if isinstance(response, dict):
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response_str = "\n".join([f"{key}: {value}" for key, value in response.items()])
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else:
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response_str = str(response)
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return response_str
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# Launch the GradioUI interface
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GradioUI(alfred
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# Load the guest dataset and initialize the guest info tool
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guest_info_tool = load_guest_dataset()
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# Custom agent class to format responses
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class FormattedCodeAgent(CodeAgent):
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def run(self, prompt, reset=True, **kwargs):
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# Call the parent class's run method
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response = super().run(prompt, reset=reset, **kwargs)
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# Convert response to a string if it’s a dictionary
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if isinstance(response, dict):
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response_str = "\n".join([f"{key}: {value}" for key, value in response.items()])
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else:
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response_str = str(response)
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return response_str
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# Create Alfred with formatted responses
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alfred = FormattedCodeAgent(
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tools=[guest_info_tool, weather_info_tool, hub_stats_tool, search_tool],
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model=model,
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add_base_tools=True, # Add any additional base tools
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planning_interval=3 # Enable planning every 3 steps
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)
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# Launch the GradioUI interface
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GradioUI(alfred).launch()
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