Update app.py

app.py

@@ -1,61 +1,81 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import requests
-import pytz
+from bs4 import BeautifulSoup
+import pandas as pd
 import yaml
 from tools.final_answer import FinalAnswerTool
 
-from Gradio_UI import GradioUI
-
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> 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:
-        arg1: the first argument
-        arg2: the second argument
+def amazon_product_scraper(search_url: str) -> tuple[pd.DataFrame, str]:
     """
-    return "What magic will you build ?"
-
-@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').
+    Scrapes Amazon search results for product titles, prices, delivery fees, and links.
+    
+    Arguments:
+        search_url (str): The URL of the Amazon search results page.
+    
+    Returns:
+        tuple[pd.DataFrame, str]: A tuple containing a sorted Pandas DataFrame of products and a recommendation string.
     """
-    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)}"
-
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
+    }
+    
+    response = requests.get(search_url, headers=headers)
+    if response.status_code != 200:
+        return None, "Failed to retrieve Amazon results. Amazon may be blocking requests."
+    
+    soup = BeautifulSoup(response.text, 'html.parser')
+    
+    product_data = []
+    
+    for item in soup.select("div[data-asin]"):
+        title_tag = item.select_one("h2 a")
+        price_tag = item.select_one("span.a-price-whole")
+        delivery_tag = item.select_one("span.s-align-children-center")
+        
+        if title_tag and price_tag:
+            title = title_tag.text.strip()
+            price = price_tag.text.strip().replace(',', '')  # Normalize prices
+            delivery = delivery_tag.text.strip() if delivery_tag else "Free"
+            link = "https://www.amazon.com" + title_tag["href"]
+            
+            product_data.append({
+                "Title": title,
+                "Price": float(price) if price.isnumeric() else None,
+                "Delivery": delivery,
+                "Link": link
+            })
+    
+    # Filter out products with no price and sort by price
+    product_data = [p for p in product_data if p["Price"] is not None]
+    product_data.sort(key=lambda x: x["Price"])
+    
+    # Convert to DataFrame for better visualization
+    df = pd.DataFrame(product_data)
+    
+    # Recommendation logic
+    best_deal = df.iloc[0] if not df.empty else None
+    recommendation = ""
+    if best_deal is not None:
+        recommendation = f"Best deal: {best_deal['Title']} at ${best_deal['Price']} with {best_deal['Delivery']} (Link: {best_deal['Link']})"
+    
+    return df, recommendation
 
+# Define the Agent
 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,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    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)
+    tools=[final_answer, amazon_product_scraper], # Adding the scraper tool
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -65,5 +85,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()