Spaces:
Sleeping
Sleeping
dummy agent
Browse files- .env.example +2 -0
- .gitignore +2 -1
- agent.py +19 -2
- app.py +11 -1
- requirements.txt +10 -1
- tools/tools.py +63 -0
.env.example
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SPACE_ID=
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HF_TOKEN=
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.gitignore
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__pycache__
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__pycache__/*
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__pycache__
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__pycache__/*
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.env
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agent.py
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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@@ -5,7 +11,18 @@ class BasicAgent:
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def __init__(self):
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print("BasicAgent initialized.")
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def __call__(self, question: str) -> str:
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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fixed_answer = "This is a default answer."
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print(f"Agent returning fixed answer: {fixed_answer}")
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return fixed_answer
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import os
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from PIL import Image
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from smolagents import CodeAgent, HfApiModel, InferenceClientModel
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import tools.tools as tls
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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def __init__(self):
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print("BasicAgent initialized.")
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def __call__(self, question: str) -> str:
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model = HfApiModel(model_id="https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud", provider="together", use_auth_token=True)
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agent = CodeAgent(
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tools=[tls.search_tool, tls.calculate_cargo_travel_time],
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model=InferenceClientModel(),
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additional_authorized_imports=["pandas"],
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max_steps=20,
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)
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fixed_answer = agent.run(question)
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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# fixed_answer = "This is a default answer."
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print(f"Agent returning fixed answer: {fixed_answer}")
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return str(fixed_answer)
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app.py
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@@ -3,6 +3,8 @@ import gradio as gr
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import requests
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import inspect
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import pandas as pd
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import agent
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# """
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# )
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gr.LoginButton()
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gr.ChatInterface(test_init_agent_for_chat, type="messages")
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if __name__ == "__main__":
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print("\n" + "-"*30 + " App Starting " + "-"*30)
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# Check for SPACE_HOST and SPACE_ID at startup for information
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space_host_startup = os.getenv("SPACE_HOST")
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import requests
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import inspect
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import pandas as pd
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from huggingface_hub import login
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from dotenv import load_dotenv
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import agent
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# """
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# )
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# gr.LoginButton()
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gr.ChatInterface(test_init_agent_for_chat, type="messages")
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if __name__ == "__main__":
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load_dotenv()
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hf_token = os.getenv("HF_TOKEN")
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if hf_token:
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login(hf_token)
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else:
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print("ℹ️ HF_TOKEN environment variable not found (running locally?).")
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print("\n" + "-"*30 + " App Starting " + "-"*30)
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# Check for SPACE_HOST and SPACE_ID at startup for information
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space_host_startup = os.getenv("SPACE_HOST")
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requirements.txt
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gradio
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requests
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gradio
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requests
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smolagents[litellm]
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matplotlib
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geopandas
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shapely
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kaleido
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smolagents
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typing
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duckduckgo-search
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huggingface_hub
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tools/tools.py
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import math
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from typing import Optional, Tuple
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from smolagents import tool, DuckDuckGoSearchTool, VisitWebpageTool
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search_tool = DuckDuckGoSearchTool()
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@tool
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def calculate_cargo_travel_time(
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origin_coords: Tuple[float, float],
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destination_coords: Tuple[float, float],
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cruising_speed_kmh: Optional[float] = 750.0, # Average speed for cargo planes
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) -> float:
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"""
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Calculate the travel time for a cargo plane between two points on Earth using great-circle distance.
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Args:
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origin_coords: Tuple of (latitude, longitude) for the starting point
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destination_coords: Tuple of (latitude, longitude) for the destination
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cruising_speed_kmh: Optional cruising speed in km/h (defaults to 750 km/h for typical cargo planes)
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Returns:
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float: The estimated travel time in hours
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Example:
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>>> # Chicago (41.8781° N, 87.6298° W) to Sydney (33.8688° S, 151.2093° E)
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>>> result = calculate_cargo_travel_time((41.8781, -87.6298), (-33.8688, 151.2093))
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"""
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def to_radians(degrees: float) -> float:
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return degrees * (math.pi / 180)
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# Extract coordinates
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lat1, lon1 = map(to_radians, origin_coords)
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lat2, lon2 = map(to_radians, destination_coords)
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# Earth's radius in kilometers
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EARTH_RADIUS_KM = 6371.0
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# Calculate great-circle distance using the haversine formula
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dlon = lon2 - lon1
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dlat = lat2 - lat1
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a = (
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math.sin(dlat / 2) ** 2
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+ math.cos(lat1) * math.cos(lat2) * math.sin(dlon / 2) ** 2
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)
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c = 2 * math.asin(math.sqrt(a))
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distance = EARTH_RADIUS_KM * c
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# Add 10% to account for non-direct routes and air traffic controls
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actual_distance = distance * 1.1
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# Calculate flight time
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# Add 1 hour for takeoff and landing procedures
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flight_time = (actual_distance / cruising_speed_kmh) + 1.0
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# Format the results
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return round(flight_time, 2)
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print(calculate_cargo_travel_time((41.8781, -87.6298), (-33.8688, 151.2093)))
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