Spaces:
Runtime error
Runtime error
File size: 3,896 Bytes
9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 82ba3ea d77ab2e 82ba3ea d77ab2e 82ba3ea 9b5b26a 82ba3ea 9b5b26a 82ba3ea 9b5b26a 82ba3ea 9b5b26a 8c01ffb 6aae614 ae7a494 e121372 bf6d34c 8213cbf fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 82ba3ea 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 | from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
# @tool
# def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
# #Keep this format for the description / args / args description but feel free to modify the tool
# """A tool that does nothing yet
# Args:
# arg1: the first argument
# arg2: the second argument
# """
# return "What magic will you build ?"
@tool
def duckduckgo_search(query: str) -> str:
"""A tool that searches DuckDuckGo for the given query and returns the top 3 URLs.
Args:
query: A string representing the search query.
Returns:
A string containing the top 3 URLs separated by newline characters.
"""
try:
# Initialize the search tool
search_tool = DuckDuckGoSearchTool()
# Run the search query
results = search_tool.run(query)
# Ensure results are a list
if not isinstance(results, list):
return "Unexpected response format from DuckDuckGo search."
# Extract the top 3 results
top_results = results[:3]
urls = [result.get("url", "URL not found") for result in top_results]
return "\n".join(urls)
except Exception as e:
return f"Error performing DuckDuckGo search: {str(e)}"
@tool
def generate_image(prompt: str) -> str:
"""A tool that generates an image based on a text prompt.
Args:
prompt: A text description for the image to generate.
Returns:
A string containing the URL of the generated image, or an error message if generation fails.
"""
try:
# Call the preloaded image_generation_tool with the provided prompt.
result = image_generation_tool(prompt=prompt)
# Assume the tool returns a dictionary with an 'image_url' key.
image_url = result.get("image_url", "No image URL returned")
return image_url
except Exception as e:
return f"Error generating image: {str(e)}"
@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()
# 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', # using the endpoint for model_id
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, duckduckgo_search, generate_image, get_current_time_in_timezone],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |