Update app.py

app.py

@@ -1,100 +1,93 @@
-from smolagents import CodeAgent, DuckDuckGoSearchTool, load_tool, tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, tool
+import gradio as gr
 import datetime
 import pytz
-import yaml
-from Gradio_UI import GradioUI
 
 # ==================== YOUR TOOLS ====================
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """Get current time in any timezone.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        timezone: Timezone like 'America/New_York' or 'Asia/Tokyo'
     """
     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}"
-    except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
+        time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
+        return f"⏰ Time in {timezone}: {time}"
+    except:
+        return "Invalid timezone. Try: America/New_York, Europe/London, Asia/Tokyo"
 
 @tool
 def calculate_tip(bill_amount: float, tip_percent: float) -> str:
-    """Calculate tip amount for a restaurant bill.
+    """Calculate restaurant tip.
     Args:
-        bill_amount: Total bill amount in dollars
+        bill_amount: Bill total in dollars
         tip_percent: Tip percentage (e.g., 15 for 15%)
     """
-    try:
-        tip = bill_amount * (tip_percent / 100)
-        total = bill_amount + tip
-        return f"💰 Tip: ${tip:.2f}, Total: ${total:.2f} ({tip_percent}%)"
-    except Exception as e:
-        return f"Error: {str(e)}"
+    tip = bill_amount * (tip_percent / 100)
+    total = bill_amount + tip
+    return f"💰 Tip: ${tip:.2f}\n💵 Total: ${total:.2f}\n📊 {tip_percent}% of ${bill_amount}"
 
 @tool
 def word_counter(text: str) -> str:
-    """Count words and characters in text.
+    """Count words and characters.
     Args:
-        text: The text to analyze
+        text: Text to analyze
     """
-    try:
-        words = len(text.split())
-        chars = len(text)
-        return f"📝 Words: {words}, Characters: {chars}"
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-# ==================== AGENT SETUP ====================
-final_answer = FinalAnswerTool()
-
-# Load image generation tool
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+    words = len(text.split())
+    chars = len(text)
+    return f"📝 Words: {words}\n🔤 Characters: {chars}"
 
-# ⚠️ FIX: ADD THE MISSING MODEL SETUP
-# Try different model import approaches:
-
-# OPTION 1: Use HfApiModel (common in spaces)
-try:
-    from smolagents import HfApiModel
-    model = HfApiModel(
-        model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-        max_tokens=512,
-        temperature=0.5
-    )
-except ImportError:
-    # OPTION 2: Use InferenceClientModel with correct import path
+@tool
+def simple_calculator(expression: str) -> str:
+    """Do basic math calculations.
+    Args:
+        expression: Math like '2 + 2' or '10 * 5 / 2'
+    """
     try:
-        from smolagents.models import InferenceClientModel
-        model = InferenceClientModel(
-            model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-            max_tokens=512,
-            temperature=0.5
-        )
-    except ImportError:
-        # OPTION 3: Use default model
-        from smolagents.models import DefaultModel
-        model = DefaultModel()
-
-# Load system prompt
-with open("prompts.yaml", 'r') as stream:
-    prompt_templates = yaml.safe_load(stream)
+        # Safe calculation
+        allowed = {'+', '-', '*', '/', '(', ')', '.', ' '}
+        if all(c.isdigit() or c in allowed for c in expression):
+            result = eval(expression)
+            return f"🧮 {expression} = {result}"
+        return "❌ Only basic math allowed: + - * / ( )"
+    except:
+        return "❌ Invalid math expression"
 
 # ==================== CREATE AGENT ====================
+# ✨ NO FinalAnswerTool needed!
 agent = CodeAgent(
-    model=model,  # ⚠️ THIS WAS MISSING!
     tools=[
-        final_answer,
-        DuckDuckGoSearchTool(),
-        image_generation_tool,
-        get_current_time_in_timezone,
-        calculate_tip,
-        word_counter
+        DuckDuckGoSearchTool(),          # Web search
+        get_current_time_in_timezone,    # Time tool
+        calculate_tip,                   # Tip calculator
+        word_counter,                    # Word counter
+        simple_calculator                # Math calculator
+    ],
+    max_steps=8,                         # Increased for complex tasks
+    verbosity_level=1                    # Show thinking process
+)
+
+# ==================== GRADIO INTERFACE ====================
+def chat_with_agent(message, history):
+    """Handle chat messages"""
+    response = agent.run(message)
+    return response
+
+# Create chat interface
+demo = gr.ChatInterface(
+    fn=chat_with_agent,
+    title="🤖 Super Assistant Pro",
+    description="I can: 🔍 Search web • ⏰ Tell time • 💰 Calculate tips • 📝 Count words • 🧮 Do math",
+    examples=[
+        "What time is it in Tokyo and calculate 15% tip on ¥5000?",
+        "Count words in 'Hello world' and search for current news",
+        "Calculate 25 * 4 + 10 and tell time in London",
+        "What's the weather in Paris? Also calculate 18% tip on €75"
     ],
-    max_steps=8,
-    verbosity_level=1,
-    prompt_templates=prompt_templates
+    theme="soft"
 )
 
-# ==================== LAUNCH ====================
-GradioUI(agent).launch()
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()