Update app.py

app.py

@@ -1,39 +1,46 @@
 from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
-import requests
 import pytz
 import yaml
+from typing import List, Dict
 from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
-from PIL import Image
-import io
 
 @tool
-def web_researcher(query: str, max_results: int = 3) -> str:
-    """A tool that performs web research using DuckDuckGo search.
+def enhanced_web_search(query: str, max_results: int = 5) -> str:
+    """An improved web search tool that provides reliable research capabilities.
     Args:
         query: The search query string
-        max_results: Maximum number of results to return (default 3)
+        max_results: Maximum number of results to return (default 5)
     Returns:
-        A formatted string containing search results
+        A formatted string containing search results with titles, URLs, and snippets
     """
     try:
+        # Perform the search
         search_results = DuckDuckGoSearchTool().search(query, max_results=max_results)
-        if not search_results:
-            return "No results found for your query."
         
+        if not search_results or len(search_results) == 0:
+            return "No relevant results found. Try refining your search query."
+        
+        # Process and format results
         formatted_results = []
-        for i, result in enumerate(search_results, 1):
+        for idx, result in enumerate(search_results[:max_results], 1):
+            title = result.get('title', 'No title available').strip()
+            url = result.get('link', '').strip()
+            snippet = result.get('snippet', 'No description available').strip()
+            
             formatted_results.append(
-                f"Result {i}:\n"
-                f"Title: {result.get('title', 'No title')}\n"
-                f"URL: {result.get('link', 'No URL')}\n"
-                f"Snippet: {result.get('snippet', 'No description')}\n"
-                f"{'-'*50}"
+                f"RESULT {idx}:\n"
+                f"Title: {title}\n"
+                f"URL: {url}\n"
+                f"Summary: {snippet}\n"
+                f"{'-'*60}"
             )
+        
         return "\n".join(formatted_results)
+    
     except Exception as e:
-        return f"Error performing search: {str(e)}"
+        return f"Search failed. Error: {str(e)}. Please try again with a different query."
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -48,36 +55,7 @@ def get_current_time_in_timezone(timezone: str) -> str:
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
-# Custom Final Answer Processor
-class CustomFinalAnswerTool:
-    def __init__(self):
-        self.tool = FinalAnswerTool()
-    
-    def __call__(self, answer):
-        # Handle different answer types
-        if hasattr(answer, '_image'):  # If it's an image
-            return self._process_image_answer(answer)
-        elif isinstance(answer, str):  # Regular text answer
-            return answer
-        else:  # Fallback for other types
-            return str(answer)
-    
-    def _process_image_answer(self, image_answer):
-        """Process image answers to display properly"""
-        try:
-            # Convert the image to displayable format
-            img = image_answer._image
-            if isinstance(img, Image.Image):
-                return img
-            elif isinstance(img, bytes):
-                return Image.open(io.BytesIO(img))
-            return f"Generated image: {image_answer}"
-        except Exception as e:
-            return f"Image processing error: {str(e)}"
-
-# Initialize tools
-final_answer = CustomFinalAnswerTool()
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+final_answer = FinalAnswerTool()
 
 model = HfApiModel(
     max_tokens=2096,
@@ -86,27 +64,43 @@ model = HfApiModel(
     custom_role_conversions=None,
 )
 
+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.tool, web_researcher, get_current_time_in_timezone, image_generation_tool],
-    max_steps=10,
-    verbosity_level=1,
+    tools=[final_answer, enhanced_web_search, get_current_time_in_timezone, image_generation_tool],
+    max_steps=12,  # Increased for more complex research
+    verbosity_level=2,  # More detailed logging
     grammar=None,
     planning_interval=None,
-    name=None,
-    description=None,
+    name="Research Assistant",
+    description="An AI assistant specialized in web research and information gathering",
     prompt_templates=prompt_templates
 )
 
-# Custom UI processor
-class CustomGradioUI(GradioUI):
+# Custom UI with better display handling
+class ResearchGradioUI(GradioUI):
     def process_final_answer(self, final_answer):
-        """Override to handle different answer types"""
-        if isinstance(final_answer, Image.Image):
-            return final_answer
+        """Enhanced output processing for better readability"""
+        if isinstance(final_answer, str):
+            if final_answer.startswith("RESULT"):
+                # Format search results with HTML for better display
+                parts = final_answer.split("\n")
+                html_output = "<div style='font-family: sans-serif; margin: 10px;'>"
+                for part in parts:
+                    if part.startswith("RESULT"):
+                        html_output += f"<h3>{part}</h3>"
+                    elif part.startswith(("Title:", "URL:", "Summary:")):
+                        html_output += f"<p><b>{part}</b></p>"
+                    elif part.startswith("-"):
+                        html_output += "<hr>"
+                    else:
+                        html_output += f"<p>{part}</p>"
+                html_output += "</div>"
+                return html_output
         return super().process_final_answer(final_answer)
 
-CustomGradioUI(agent).launch()
+ResearchGradioUI(agent).launch()