Spaces:
Running
Running
File size: 1,435 Bytes
9b5b26a c19d193 1d6da9a f604625 9b5b26a 1d6da9a ae7a494 b4eb62c f604625 ae7a494 b4eb62c e121372 1d6da9a f604625 b279bcb f604625 13d500a 8c01ffb b4eb62c 9b5b26a 8c01ffb b4eb62c 861422e 9b5b26a 1d6da9a 8c01ffb 8fe992b 1d6da9a 8c01ffb 1d6da9a 861422e 8fe992b f604625 |
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 |
import datetime
import pytz
import yaml
from smolagents import CodeAgent, HfApiModel, load_tool, tool, DuckDuckGoSearchTool
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# Instantiate the DuckDuckGo search tool provided by smolagents.
duckduckgo_tool = DuckDuckGoSearchTool()
# Final answer tool (must be included)
final_answer = FinalAnswerTool()
# Define the model configuration.
model = HfApiModel(
max_tokens=1000, # Reduced max_tokens to help prevent token limit issues.
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
custom_role_conversions=None,
)
# Optionally, load an additional tool from the Hub (e.g., a text-to-image tool)
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# Load prompt templates from YAML.
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
# Initialize the CodeAgent with the DuckDuckGo search tool.
agent = CodeAgent(
model=model,
tools=[final_answer, duckduckgo_tool],
max_steps=3, # Reduced steps to limit the chain-of-thought length.
verbosity_level=1,
grammar=None,
planning_interval=None,
name="SearchAgent",
description="An AI agent that uses DuckDuckGo search to fetch information from the web.",
prompt_templates=prompt_templates
)
# Launch the Gradio UI to interact with the agent.
GradioUI(agent).launch()
|