Update app.py

app.py

@@ -1,4 +1,4 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 from smolagents.agent_types import AgentImage
 import datetime
 import requests
@@ -6,13 +6,11 @@ import pytz
 import yaml
 from PIL import Image
 import os
+import io
 from tools.final_answer import FinalAnswerTool
-
 from Gradio_UI import GradioUI
 
-
-
-
+# Preserving original definition with added robustness
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """A tool that fetches the current local time in a specified timezone.
@@ -20,17 +18,13 @@ def get_current_time_in_timezone(timezone: str) -> str:
         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)}"
 
-
-
-
+# Preserving original description with fixed search handling
 @tool
 def travel_recommendations_for_city(city: str) -> str:
     """A tool that provides tourist recommendations for a given city.
@@ -38,53 +32,84 @@ def travel_recommendations_for_city(city: str) -> str:
         city: A string representing a specific city (e.g., 'Nairobi/Johannesburg').
     """
     search = DuckDuckGoSearchTool()
-    results = search(f"Top things to do in {city}")
-    if not results:
-        return f"Couldn't find any recommendations for {city}."
-    recommendations = "\n".join([f"- {r['body']}" for r in results[:5]])
-    return f"Here are some things to do in {city}:\n{recommendations}"
-
-
-
-
-# Import tool from Hub
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+    try:
+        # Handle compound city names
+        city = city.split('/')[0].strip()
+        results = search(f"Top things to do in {city}")
+        
+        if not results:
+            return f"Couldn't find any recommendations for {city}."
+            
+        # Extract content from different possible fields
+        recommendations = []
+        for r in results[:5]:
+            content = r.get('body') or r.get('snippet') or r.get('title') or "No description available"
+            recommendations.append(f"- {content}")
+            
+        return f"Here are some things to do in {city}:\n" + "\n".join(recommendations)
+    except Exception as e:
+        return f"Error fetching recommendations: {str(e)}"
 
+# Preserving original description with enhanced image handling
 @tool
 def generate_travel_brochure_image(description: str) -> AgentImage:
     """A tool that generates a travel brochure image based on a description.
     Args:
         description: A string representing text to be converted into a brochure.
     """
-    image_path = image_generation_tool(description)
-
-    print(f"[DEBUG] image_generation_tool returned path: {image_path}")
-
-    
-    if isinstance(image_path, str) and os.path.exists(image_path):
-        image = Image.open(image_path)
-        return AgentImage(image)
+    try:
+        image_path = image_generation_tool(description)
+        print(f"[DEBUG] image_generation_tool returned: {image_path}")
+
+        # Handle different return types from image tool
+        if isinstance(image_path, Image.Image):
+            return AgentImage(image_path)
+            
+        elif isinstance(image_path, str):
+            if image_path.startswith(('http://', 'https://')):
+                # Download from URL
+                response = requests.get(image_path, timeout=10)
+                response.raise_for_status()
+                return AgentImage(Image.open(io.BytesIO(response.content)))
+                
+            elif os.path.exists(image_path):
+                return AgentImage(Image.open(image_path))
+                
+        raise ValueError("Image generation failed - invalid return format")
         
-    raise ValueError("Image generation failed or returned invalid path.")
-
-
+    except Exception as e:
+        return f"Image generation error: {str(e)}"
+
+# Load image tool with error handling
+try:
+    image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+except Exception as e:
+    print(f"Error loading image tool: {str(e)}")
+    # Fallback to stable diffusion if available
+    try:
+        image_generation_tool = load_tool("stabilityai/stable-diffusion")
+        print("Using stable-diffusion fallback")
+    except:
+        raise RuntimeError("No working image generation tool available")
 
 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' 
-
+# Using reliable endpoint as suggested
 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
+    custom_role_conversions=None,
 )
 
+# Load prompts with fallback
+try:
+    with open("prompts.yaml", 'r') as stream:
+        prompt_templates = yaml.safe_load(stream)
+except Exception as e:
+    print(f"Error loading prompts: {str(e)}")
+    prompt_templates = {}
 
-with open("prompts.yaml", 'r') as stream:
-    prompt_templates = yaml.safe_load(stream)
-    
 agent = CodeAgent(
     model=model,
     tools=[
@@ -92,7 +117,7 @@ agent = CodeAgent(
         travel_recommendations_for_city,
         generate_travel_brochure_image,
         final_answer
-    ], ## add your tools here (don't remove final answer)
+    ],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -102,5 +127,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()