Spaces:
Sleeping
Sleeping
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
import datetime | |
import requests | |
import pytz | |
import yaml | |
import io | |
import base64 | |
import schemdraw | |
from schemdraw import flow | |
from tools.final_answer import FinalAnswerTool | |
from Gradio_UI import GradioUI | |
def text_to_flowchart(steps_text: str) -> str: | |
""" | |
Generates a flowchart diagram from pre-processed text that lists sequential process steps. | |
The input should be a text with each step on a new line (optionally prefixed by bullet markers). | |
Args: | |
steps_text: A string containing the process steps. | |
Returns: | |
A data URL for a PNG image of the generated flowchart. | |
""" | |
# Parse steps from the input text | |
parsed_steps = [] | |
for line in steps_text.splitlines(): | |
line = line.strip() | |
if line.startswith(("-", "*", "•")): | |
line = line[1:].strip() | |
elif line and line[0].isdigit(): | |
dot_index = line.find('.') | |
if dot_index != -1: | |
line = line[dot_index+1:].strip() | |
if line: | |
parsed_steps.append(line) | |
if not parsed_steps: | |
parsed_steps = ["No steps provided."] | |
# Create the flowchart using SchemDraw's flow module | |
d = schemdraw.Drawing(unit=0.5, fontsize=10) | |
d += flow.Terminal().label("Start") | |
for step in parsed_steps: | |
d += flow.Arrow() | |
d += flow.Process().label(step) | |
d += flow.Arrow() | |
d += flow.Terminal().label("End") | |
# Render diagram to PNG and encode as a data URL | |
buf = io.BytesIO() | |
d.draw() | |
d.fig.savefig(buf, format='png', bbox_inches='tight') | |
buf.seek(0) | |
encoded_image = base64.b64encode(buf.getvalue()).decode('utf-8') | |
data_url = f"data:image/png;base64,{encoded_image}" | |
return data_url | |
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='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], ## 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() |