Spaces:
Running
Running
File size: 4,263 Bytes
9b5b26a bdf1a29 9b5b26a c19d193 6aae614 4381f4e 8fe992b 9b5b26a 0964cc9 e42b0dc 0964cc9 af0d5eb 0964cc9 375298f 3018b1a c948137 bdf1a29 58c2ada bdf1a29 733fef2 bdf1a29 135231c d21f9e0 bdf1a29 375298f 256f87d 9b5b26a 375298f 9b5b26a 375298f bdf1a29 6347b3b d21f9e0 375298f bdf1a29 4e5660b bdf1a29 9b5b26a 8c01ffb 6aae614 4381f4e ae7a494 e121372 bf6d34c 29ec968 fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 375298f 8c01ffb 861422e 8fe992b 9b5b26a 8c01ffb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 |
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
from datetime import date
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool
from Gradio_UI import GradioUI
import os
from huggingface_hub import login
login(token = os.getenv('nangelov_hf_token'))
FOOTBALL_DATA_TOKEN = os.getenv('football_data_token')
@tool
def get_Competition_Code(competition_name: str)-> str:
"""A tool that returns the competition code for a given competition name.
Args:
competition_name: A string representing the full name of the competition, e.g., "Premier League" or "Bundesliga".
"""
competitions = {
"WC": "FIFA World Cup",
"CL": "UEFA Champions League",
"BL1": "Bundesliga",
"DED": "Eredivisie",
"BSA": "Campeonato Brasileiro Série A",
"PD": "Primera Division",
"FL1": "Ligue 1",
"ELC": "Championship",
"PPL": "Primeira Liga",
"EC": "European Championship",
"SA": "Serie A",
"PL": "Premier League"
}
print(competition_name)
# Iterate through the dictionary to find the matching competition name.
for code, name in competitions.items():
if name.lower() == competition_name.lower():
print(code)
return code
# Return None if no match is found.
return None
@tool
def search_Competition_Matches_Results_By_Date(competition_code: str, matchday: int)-> dict:
"""A tool that fetch football games results for a given competition from a specified date.
Args:
competition_code: A string representing the code of the competition, e.g., "Premier League" or "Bundesliga".
matchday: An integer representing the matchday for which to retrieve match results format: Integer /[1-4]+[0-9]*/.
"""
# Create the URL using an f-string
url = f'https://api.football-data.org/v4/competitions/{competition_code}/matches?matchday={matchday}'
print(url)
# Set up the headers with your API token.
headers = {
'X-Auth-Token': FOOTBALL_DATA_TOKEN
}
# Make the request
response = requests.get(url, headers=headers)
# Check if the request was successful.
if response.status_code == 200:
return response.json() # Parse and return the JSON response.
else:
# Return error details as a dict
return {"error": response.status_code, "message": response.text}
@tool
def get_current_time_in_timezone(timezone: str) -> str:
"""A tool that fetches the current local time in a specified timezone.
Args:
timezone: A string representing a valid timezone (e.g., 'America/New_York').
"""
try:
# Create timezone object
tz = pytz.timezone(timezone)
# Get current time in that timezone
local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
return f"The current local time in {timezone} is: {local_time}"
except Exception as e:
return f"Error fetching time for timezone '{timezone}': {str(e)}"
final_answer = FinalAnswerTool()
visit_webpage = VisitWebpageTool()
# 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:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)
# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[final_answer, visit_webpage, search_Competition_Matches_Results_By_Date, get_current_time_in_timezone, get_Competition_Code], ## add your tools here (don't remove final answer)
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |