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cyberosa
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Parent(s):
ae7a494
adding calories checker tool
Browse files- README.md +4 -4
- agent.json +1 -1
- app.py +23 -14
- tools/calories_checker.py +28 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version: 5.15.0
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app_file: app.py
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---
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title: Nutritionist Agent Assistant
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emoji: 🥦
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colorFrom: green
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colorTo: white
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sdk: gradio
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sdk_version: 5.15.0
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app_file: app.py
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agent.json
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"class": "HfApiModel",
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"data": {
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"max_tokens": 2096,
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"temperature": 0.
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"last_input_token_count": null,
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"last_output_token_count": null,
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"model_id": "Qwen/Qwen2.5-Coder-32B-Instruct",
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"class": "HfApiModel",
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"data": {
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"max_tokens": 2096,
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"temperature": 0.3,
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"last_input_token_count": null,
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"last_output_token_count": null,
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"model_id": "Qwen/Qwen2.5-Coder-32B-Instruct",
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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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import yaml
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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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def my_custom_tool(
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Args:
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arg1: the first argument
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arg2: the second argument
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"""
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return "What magic will you build ?"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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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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model_id=
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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("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml",
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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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max_steps=6,
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verbosity_level=1,
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grammar=None,
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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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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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import yaml
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from tools.final_answer import FinalAnswerTool
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from tools.calories_checker import CaloriesCheckerTool
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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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def my_custom_tool(
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arg1: str, arg2: int
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) -> str: # it's import to specify the return type
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# Keep this format for the description / args / args description but feel free to modify the tool
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"""A tool that does nothing yet
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Args:
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arg1: the first argument
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arg2: the second argument
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"""
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return "What magic will you build ?"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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final_answer = FinalAnswerTool()
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calories_checker = CaloriesCheckerTool()
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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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model_id="Qwen/Qwen2.5-Coder-32B-Instruct", # it is possible that this model may be overloaded
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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("agents-course/text-to-image", trust_remote_code=True)
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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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final_answer,
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calories_checker,
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], ## add your tools here (don't remove 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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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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tools/calories_checker.py
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import requests
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import os
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from typing import Any, Optional, list
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from smolagents.tools import Tool
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class CaloriesCheckerTool(Tool):
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name = "calories_check"
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description = "Based on a query including some food you want to eat, it returns the calories and other nutritional parameters of the food"
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inputs = {
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"query": {
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"type": "string",
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"description": "The query with the food you want to check.",
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}
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}
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output_type = "list"
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def __init__(self, *args, **kwargs):
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self.is_initialized = False
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self.api_key = os.environ.get("CALORIES_API_KEY", None)
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def forward(self, query: str) -> list:
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api_url = "https://api.api-ninjas.com/v1/nutrition?query={}".format(query)
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response = requests.get(api_url, headers={"X-Api-Key": self.api_key})
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if response.status_code == requests.codes.ok:
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return response.text
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return [{"Error": response.status_code, "message": "response.text"}]
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