Update app.py

app.py

@@ -1,81 +1,94 @@
-from smolagents import CodeAgent, HfApiModel, load_tool, tool
+from smolagents import CodeAgent, HfApiModel, tool
+from smolagents.agent_types import AgentImage
+import requests
 import datetime
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
 from Gradio_UI import GradioUI
+import os
 
-# -------------------------
-# Custom tools
-# -------------------------
+# ----- Custom Tools -----
 @tool
 def my_custom_tool(arg1: str, arg2: int) -> str:
-    """A tool that does nothing yet
+    """
+    Simple demo tool.
+    
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        arg1: The first argument
+        arg2: The second argument
     """
-    return "What magic will you build?"
+    return f"Your inputs were arg1={arg1} and arg2={arg2}"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """Fetch the current local time in a specified timezone.
+    """
+    Returns current local time in a given timezone.
+    
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York'). 
+        timezone: A valid timezone string.
     """
     try:
         tz = pytz.timezone(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}"
+        now = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
+        return f"The current local time in {timezone} is {now}."
     except Exception as e:
-        return f"Error fetching time for '{timezone}': {str(e)}"
+        return f"Error with timezone '{timezone}': {str(e)}"
 
-# -------------------------
-# Final answer tool
-# -------------------------
+# ----- Final Answer -----
 final_answer = FinalAnswerTool()
 
-# -------------------------
-# Model setup
-# -------------------------
+# ----- Model Setup -----
 model = HfApiModel(
-    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
     max_tokens=2096,
     temperature=0.5
 )
 
-# -------------------------
-# Image generation tool
-# -------------------------
-# Use an existing text-to-image model that is available
-generate_image = load_tool(
-    "stabilityai/stable-diffusion-2-1",  # valid HF model
-    trust_remote_code=True
-)
+# ----- Image Generation via HF Inference API -----
+@tool
+def generate_image(prompt: str) -> AgentImage:
+    """
+    Generates a photorealistic image using the HF Inference API.
+    
+    Args:
+        prompt: text prompt to describe the image.
+    
+    Returns:
+        AgentImage that Gradio can render.
+    """
+    hf_token = os.environ.get("HF_TOKEN")
+    if not hf_token:
+        raise ValueError("HF_TOKEN not set in Space settings!")
+
+    # example HF image endpoint
+    api_url = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1"
+    headers = {"Authorization": f"Bearer {hf_token}"}
+    payload = {"inputs": prompt}
+
+    resp = requests.post(api_url, headers=headers, json=payload)
+    resp.raise_for_status()
+
+    image_bytes = resp.content
+    return AgentImage.from_bytes(image_bytes)
 
-# -------------------------
-# Load prompt templates
-# -------------------------
+# ----- Load Prompt Templates -----
 with open("prompts.yaml", "r") as f:
     prompt_templates = yaml.safe_load(f)
 
-# -------------------------
-# Agent setup
-# -------------------------
+# ----- Create Agent -----
 agent = CodeAgent(
     model=model,
     tools=[
         final_answer,
-        generate_image,              # image tool
+        generate_image,
         get_current_time_in_timezone,
-        my_custom_tool
+        my_custom_tool,
     ],
     max_steps=6,
     verbosity_level=1,
-    prompt_templates=prompt_templates
+    prompt_templates=prompt_templates,
 )
 
-# -------------------------
-# Launch UI
-# -------------------------
+# ----- Launch UI -----
 GradioUI(agent).launch()