Spaces:
Sleeping
Sleeping
abtsousa
commited on
Added the built-in tools and a Primeira Liga scores tool.
Browse files
app.py
CHANGED
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@@ -4,6 +4,9 @@ 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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@@ -33,8 +36,112 @@ def get_current_time_in_timezone(timezone: str) -> str:
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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 = 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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@@ -55,7 +162,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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tools=[final_answer], ## 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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@@ -66,4 +173,4 @@ agent = CodeAgent(
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)
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GradioUI(agent).launch()
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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.visit_webpage import VisitWebpageTool
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from tools.web_search import DuckDuckGoSearchTool
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from typing import Any, Dict, Optional
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from Gradio_UI import GradioUI
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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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@tool
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def curiosity(input: str) -> str:
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"""This tool is designed to spark curiosity in the user. It takes a string as input and returns a message that encourages the user to explore further.
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Args:
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input: A string input from the user.
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"""
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return "Wow, amazing!"
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@tool
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def get_primeira_liga_team_stats(team_name: str) -> Optional[Dict[str, Any]]:
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"""
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Retrieve standing and last 3 match scores for a given Primeira Liga team using TheSportsDB API.
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Args:
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team_name (str): Name of the team to search for
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Returns:
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Dict containing team statistics or None if team not found
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"""
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def _determine_match_outcome(home_team: str, away_team: str,
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home_score: int, away_score: int,
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target_team: str) -> str:
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"""
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Determine match outcome (W/D/L) from the perspective of the target team.
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"""
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if home_team == target_team:
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if home_score > away_score:
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return 'W'
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elif home_score < away_score:
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return 'L'
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else:
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return 'D'
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else:
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if away_score > home_score:
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return 'W'
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elif away_score < home_score:
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return 'L'
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else:
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return 'D'
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# API Base URL
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BASE_URL = "https://www.thesportsdb.com/api/v1/json/3"
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# Hardcoded Primeira Liga League ID
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PRIMEIRA_LIGA_ID = 4344
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try:
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# Step 1: Search for the team to get its ID
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team_search_url = f"{BASE_URL}/searchteams.php?t={team_name.replace(' ', '%20')}"
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team_search_response = requests.get(team_search_url)
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team_search_data = team_search_response.json()
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if not team_search_data.get('teams'):
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return None
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# Get the first matching team's ID
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team_id = team_search_data['teams'][0]['idTeam']
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# Step 2: Get league table
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table_url = f"{BASE_URL}/lookuptable.php?l={PRIMEIRA_LIGA_ID}"
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table_response = requests.get(table_url)
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table_data = table_response.json()
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# Find team's standing
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standing = next(
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(int(entry['intRank']) for entry in table_data.get('table', [])
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if entry['idTeam'] == team_id),
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None
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)
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# Step 3: Get last 5 events for the team
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last_events_url = f"{BASE_URL}/eventslast.php?id={team_id}"
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last_events_response = requests.get(last_events_url)
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last_events_data = last_events_response.json()
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# Process last 3 matches
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last_3_matches = []
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for event in last_events_data.get('results', [])[:3]:
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match = {
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'opponent': event['strAwayTeam'] if event['strHomeTeam'] == team_name else event['strHomeTeam'],
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'result': f"{event['intHomeScore']} - {event['intAwayScore']}",
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'outcome': _determine_match_outcome(
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event['strHomeTeam'], event['strAwayTeam'],
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event['intHomeScore'], event['intAwayScore'],
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team_name
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)
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}
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last_3_matches.append(match)
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return {
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"team": team_name,
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"standing": standing,
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"last_3_matches": last_3_matches
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}
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except Exception as e:
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print(f"Error retrieving team stats: {e}")
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return None
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final_answer = FinalAnswerTool()
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visit_webpage = VisitWebpageTool()
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web_search = DuckDuckGoSearchTool()
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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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agent = CodeAgent(
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model=model,
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tools=[final_answer, get_current_time_in_timezone, curiosity, get_primeira_liga_team_stats, visit_webpage, web_search, image_generation_tool], ## 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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)
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GradioUI(agent).launch()
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