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Update app.py
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app.py
CHANGED
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@@ -15,7 +15,7 @@ def construct_course_search_query(interest: str, expertise: str, budget: str) ->
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expertise: The user's current level of expertise (e.g., 'beginner', 'intermediate').
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budget: The budget available for the course (e.g., '$100', 'free').
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"""
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query = f"
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return query
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# Existing tools from the template
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@@ -33,11 +33,11 @@ model = HfApiModel(
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# Import tool from Hub (unchanged from template)
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# Load prompt templates (unchanged from template)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# Initialize the agent with the updated tools list
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agent = CodeAgent(
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model=model,
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tools=[construct_course_search_query, search_tool, final_answer], # Added custom tool
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@@ -47,7 +47,8 @@ agent = CodeAgent(
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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expertise: The user's current level of expertise (e.g., 'beginner', 'intermediate').
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budget: The budget available for the course (e.g., '$100', 'free').
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"""
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query = f"top {interest} courses for {expertise} under {budget}"
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return query
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# Existing tools from the template
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# Import tool from Hub (unchanged from template)
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# Load prompt templates (unchanged from template, but updated in prompt.yaml)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# Initialize the agent with the updated tools list and custom logic
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agent = CodeAgent(
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model=model,
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tools=[construct_course_search_query, search_tool, final_answer], # Added custom tool
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planning_interval=None,
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name=None,
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description=None,
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prompt_templates=prompt_templates,
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custom_logic=lambda state: all(key in state for key in ['user_interest', 'user_expertise', 'user_budget'])
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)
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GradioUI(agent).launch()
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