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Update app.py
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app.py
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@@ -8,35 +8,48 @@ from Gradio_UI import GradioUI
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""
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try:
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tz = pytz.timezone(timezone)
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return str(e)
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
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max_tokens=2096,
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temperature=0.5
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)
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image_generation_tool = load_tool(
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"agents-course/text-to-image",
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trust_remote_code=True
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)
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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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agent = CodeAgent(
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model=model,
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tools=[
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@@ -47,8 +60,13 @@ agent = CodeAgent(
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],
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max_steps=6,
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verbosity_level=2,
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""
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Get the current local time in a specified timezone.
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Args:
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timezone (str): A valid timezone string such as 'Asia/Kolkata' or 'America/New_York'.
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Returns:
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str: The current local time in the specified timezone.
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"""
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try:
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tz = pytz.timezone(timezone)
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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# Final answer tool (mandatory for agent)
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final_answer = FinalAnswerTool()
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# LLM model for agent reasoning
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model = HfApiModel(
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model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
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max_tokens=2096,
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temperature=0.5,
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)
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# Image generation tool from Hugging Face Agents course
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image_generation_tool = load_tool(
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"agents-course/text-to-image",
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trust_remote_code=True
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)
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# Load prompt templates
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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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# Create agent
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agent = CodeAgent(
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model=model,
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tools=[
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],
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max_steps=6,
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verbosity_level=2,
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grammar=None,
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planning_interval=None,
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name="MultiTool Agent",
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description="Agent that can search the web, generate images, and fetch timezone information.",
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prompt_templates=prompt_templates
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)
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# Launch Gradio UI
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GradioUI(agent).launch()
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