app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from playwright.sync_api import sync_playwright
import time
from bs4 import BeautifulSoup
import pandas as pd
import time

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def scrape_drug_reviews(drug: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 calls a scraping function on the drugs.com website to scrape for reviews on target dtug specified in input
    Args:
        drug: the name of the target drug we want to retrieve reviews for, in lower case (e.g. 'flecainide')
        
    """
    try:
        data = scrape_drugs_com_reviews(drug)
        # Get current time in that timezone
        return data.to_string() 
    except Exception as e:
        return f"Error fetching reviews for the target drug you provided: '{drug}'"


def scrape_drugs_com_reviews(drug_name, max_pages=3, delay=2):
    """
    Scrapes user reviews from Drugs.com for a given drug.
    """
    base_url = f"https://www.drugs.com/comments/{drug_name}/"
    all_reviews = []

    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()

        for page_num in range(1, max_pages + 1):
            url = base_url if page_num == 1 else f"{base_url}?page={page_num}"
            print(f"Scraping: {url}")
            page.goto(url, timeout=60000)
            time.sleep(delay)  # Give page some time to load

            html = page.content()
            soup = BeautifulSoup(html, 'html.parser')
            review_blocks = soup.select('.user-comment')

            if not review_blocks:
                print("No reviews found on this page.")
                break

            for block in review_blocks:
                review_text = block.select_one('.user-comment-text')
                condition = block.select_one('.drug-condition')
                rating = block.select_one('.rating-score')
                date = block.select_one('.comment-date')

                all_reviews.append({
                    "condition": condition.get_text(strip=True) if condition else None,
                    "rating": rating.get_text(strip=True) if rating else None,
                    "review": review_text.get_text(strip=True) if review_text else None,
                    "date": date.get_text(strip=True) if date else None,
                    "source": url
                })

            time.sleep(delay)

        browser.close()
    return pd.DataFrame(all_reviews)



@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='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=[scrape_drug_reviews,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()