Update app.py
Browse files
app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import requests
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import pytz
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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"""
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Args:
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"""
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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final_answer = FinalAnswerTool()
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# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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)
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# Import tool from Hub
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image_generation_tool = load_tool(
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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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max_steps=6,
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verbosity_level=1,
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grammar=None,
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GradioUI(agent).launch()
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import pytz
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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import os
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from PIL import Image
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import requests
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from io import BytesIO
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print(os.getcwd())
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current_directory = os.path.dirname(os.path.abspath(__file__))
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# Below is an example of a tool that does nothing. Amaze us with your creativity !
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@tool
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# it's import to specify the return type
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def get_random_image(width: int, height: int) -> Image.Image:
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"""Retrieve a random image with the desired dimensions.
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Args:
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width: Desired width of the image.
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height: Desired height of the image.
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"""
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if width <= 0 or height <= 0:
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raise ValueError("Width and height must be positive integers.")
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# Generate the URL for a random image
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url = f"https://picsum.photos/{width}/{height}"
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# Download the image
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response = requests.get(url)
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if response.status_code == 200:
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# Open the image
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image = Image.open(BytesIO(response.content))
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return image
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else:
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raise Exception("Failed to download the image.")
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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final_answer = FinalAnswerTool()
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# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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# model_id='Qwen/Qwen2.5-Coder-32B-Instruct'
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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# it is possible that this model may be overloaded
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model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool(
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"agents-course/text-to-image", trust_remote_code=True)
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prompts_file = f"prompts.yaml"
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prompts_path = f"{current_directory}/{prompts_file}"
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with open(prompts_path, '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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# add your tools here (don't remove final answer)
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tools=[get_random_image, get_current_time_in_timezone, final_answer],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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)
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GradioUI(agent).launch()
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