Update app.py

app.py

@@ -1,12 +1,12 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
-from Gradio_UI import GradioUI
+from Gradio_UI import GradioUI  # Assuming this is your custom module
 
-from typing import Dict, Union, List, Optional, Any, TypedDict
+from typing import Dict, Optional, TypedDict
 import random
 
 class AudiobookRecommendation(TypedDict):
@@ -16,19 +16,28 @@ class AudiobookRecommendation(TypedDict):
     length: str
     description: str
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
-# The next step should be connect directly to a spotify API for example or Audible API, but let's keep it simple for now.
 @tool
 def get_audiobook_recommendation(category: Optional[str] = None) -> AudiobookRecommendation:
     """
-    Returns a single audiobook recommendation as a flat dictionary.
+    Returns a single audiobook recommendation based on a category.
+
+    Args:
+        category (Optional[str]): The genre or topic of interest for the audiobook recommendation. 
+                                 If None, a random category is chosen.
+
+    Returns:
+        AudiobookRecommendation: A dictionary containing the audiobook's title, author, narrator, 
+                                 length, and description.
     """
     audiobook_catalog = {
         "science fiction": [
-            {"title": "Dune", "author": "Frank Herbert", "narrator": "Simon Vance", "length": "21h 8m", "description": "An epic science fiction novel..."},
-            # ... other books
+            {"title": "Dune", "author": "Frank Herbert", "narrator": "Simon Vance", "length": "21h 8m", "description": "An epic science fiction novel about politics, religion, and ecology on a desert planet."},
+            {"title": "Project Hail Mary", "author": "Andy Weir", "narrator": "Ray Porter", "length": "16h 10m", "description": "A lone astronaut must save humanity..."}
+        ],
+        "fantasy": [
+            {"title": "The Hobbit", "author": "J.R.R. Tolkien", "narrator": "Andy Serkis", "length": "10h 25m", "description": "Bilbo Baggins' unexpected adventure..."}
         ],
-        # ... other categories
+        # Add more categories as needed
     }
 
     try:
@@ -38,48 +47,53 @@ def get_audiobook_recommendation(category: Optional[str] = None) -> AudiobookRec
                 return random.choice(audiobook_catalog[category])
         random_category = random.choice(list(audiobook_catalog.keys()))
         return random.choice(audiobook_catalog[random_category])
-    except Exception:
+    except Exception as e:
         all_books = [book for books in audiobook_catalog.values() for book in books]
         return random.choice(all_books)
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """
+    Fetches the current local time in a specified timezone.
+
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        timezone (str): A valid timezone string (e.g., 'America/New_York').
+
+    Returns:
+        str: The current local time in the specified timezone or an error message.
     """
     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,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    custom_role_conversions=None,
 )
 
-
-# Import tool from Hub
+# Load external tool
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
+# Load prompt templates
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# Initialize agent with all tools
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[
+        final_answer,
+        get_audiobook_recommendation,
+        get_current_time_in_timezone,
+        image_generation_tool
+    ],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -89,5 +103,5 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
+# Launch Gradio UI
 GradioUI(agent).launch()