app.py

from smolagents import CodeAgent, load_tool, tool, LiteLLMModel

import os
import datetime
import requests
import pytz
import yaml
import markdown
from openai import OpenAI
from tools.web_search import DuckDuckGoSearchTool
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool

from Gradio_UI import GradioUI

client = OpenAI(
  base_url="https://openrouter.ai/api/v1",
  api_key=os.getenv("OPENROUTER_API_KEY"),
)

model = LiteLLMModel(
    "openrouter/google/gemini-2.0-flash-001", 
    temperature=0.2,
    api_key=os.getenv("OPENROUTER_API_KEY")
)

@tool
def analyze_petition(petition: str, best_practices: str) -> str:
    """A tool that receives a political petition text and analyses it for improvements to make it follow the best practices and returns optimized petition using Markdown.
    Args:
        petition: A string containing a political petition text.
        best_practices: A string containing a list of best practices for creating efficient, appealing and call-to-action political petition.
    """
    completion = client.chat.completions.create(
      model="google/gemini-2.0-flash-001",
      messages=[
        {
          "role": "user",
          "content": f"""
              Optimize the provided political petition to meet the best practices and format the optimized petition in Markdown by preserving all the sections from the initial petition.

              Initial petition:
              {petition}

              Best practices:
              {best_practices}
          """
        }
      ]
    )
    return completion.choices[0].message.content


@tool
def create_presentation(petition: str) -> str:
    """A tool that receives a political petition text and generates slides presented in Markdown.
    Args:
        petition: A string containing a political petition text.
    """
    completion = client.chat.completions.create(
      model="google/gemini-2.0-flash-001",
      messages=[
        {
          "role": "user",
          "content": f"""
              Take the provided political petition's text and create slides for the presentation outputing all slides in Markdown.

              Political petition:
              {petition}
          """
        }
      ]
    )
    return completion.choices[0].message.content


final_answer = FinalAnswerTool()
search = DuckDuckGoSearchTool()
visit = VisitWebpageTool()

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[analyze_petition, search, visit, create_presentation, final_answer],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()