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Update app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import json
from Gradio_UI import GradioUI
movies = {}
with open('movies.json') as f:
movies = json.load(f)
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def movie_info(movie_name:str)-> 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:
movie_name: name of the movie
"""
try:
# read and create an object of information about a movie requested.
filtered_movies = [movie for movie in movies if movie["Title"].lower() == movie_name.lower()]
if len(filtered_movies) > 0:
output = ""
for movie in filtered_movies:
output += movie['Title'] + ","
output += movie['Year'] + ","
output += movie['imdbRating'] + ","
output += movie['imdbVotes'] + ","
output += movie['Actors'] + ","
output += "\n"
else:
output = "No information on that movie found!"
print (output)
return output
except Exception as e:
return f"Error movies json and formatting."
@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()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# 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()