Update app.py

updating the agent for the new process.

app.py

@@ -1,57 +1,177 @@
-from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
+"""
+HuggingFace and Gradio Agent Template
+Requirements:
+pip install -r requirements.txt
+"""
+
+import os
+from smolagents import CodeAgent, HfApiModel, load_tool, tool
 import datetime
-import requests
 import pytz
 import yaml
+import gradio as gr
 from tools.final_answer import FinalAnswerTool
+from Gradio_UI import GradioUI
+from typing import Dict, Any
+from huggingface_hub import InferenceClient
+
+# Example requirements.txt content (save this separately)
+REQUIREMENTS = """
+gradio>=4.0.0
+huggingface-hub>=0.19.0
+smolagents
+pytz
+pyyaml
+"""
 
+# Basic working tool example
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
-    Args:
-        arg1: the first argument
-        arg2: the second argument
-    """
-    return "What magic will you build ?"
+def calculator(operation: str) -> str:
+    """A simple calculator tool that safely evaluates basic math expressions."""
+    try:
+        allowed_chars = set("0123456789+-*/ .()")
+        if not all(c in allowed_chars for c in operation):
+            return "Error: Only basic math operations allowed"
+        result = eval(operation, {"__builtins__": {}})
+        return f"Result: {result}"
+    except Exception as e:
+        return f"Error calculating {operation}: {str(e)}"
 
 @tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+def get_time(timezone: str = "UTC") -> str:
+    """Get current time in specified timezone."""
+    try:
+        tz = pytz.timezone(timezone)
+        current_time = datetime.datetime.now(tz)
+        return f"Current time in {timezone}: {current_time.strftime('%Y-%m-%d %H:%M:%S %Z')}"
+    except Exception as e:
+        return f"Error getting time for {timezone}: {str(e)}"
+
+# Example HuggingFace tool
+@tool
+def text_generation(prompt: str) -> str:
+    """Generate text using HuggingFace model.
+    
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        prompt: Text prompt for generation
+    
+    Returns:
+        str: Generated text or 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}"
+        # Using HF Inference API
+        client = InferenceClient()
+        # You can change the model to any available on HF
+        response = client.text_generation(
+            prompt,
+            model="google/gemma-7b-it",  # Example model
+            max_new_tokens=100,
+            temperature=0.7
+        )
+        return response
     except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
+        return f"Error generating text: {str(e)}"
+
+# Create default prompts.yaml
+DEFAULT_PROMPTS = """
+system_prompt: |-
+    You are an expert assistant who can solve tasks using Python code and available tools.
+    You proceed step by step using 'Thought:', 'Code:', and 'Observation:' sequences.
+    
+    Here's an example:
+    Task: "Calculate 23 * 45 and generate a short story about the number"
+
+    Thought: First, I'll calculate the multiplication.
+    Code:
+    ```py
+    result = calculator("23 * 45")
+    print(result)
+    ```<end_code>
+    Observation: Result: 1035
 
+    Thought: Now I'll generate a short story about this number.
+    Code:
+    ```py
+    story = text_generation(f"Write a very short story about the number {1035}")
+    final_answer(f"The calculation result is 1035.\\nHere's a story about it:\\n{story}")
+    ```<end_code>
+
+    You have access to these tools:
+    - calculator: Evaluates basic math expressions
+    - get_time: Gets current time in any timezone
+    - text_generation: Generates text using HuggingFace model
+    - final_answer: Returns the final answer to the user
+
+    Rules:
+    1. Always use 'Thought:', 'Code:', and end with '<end_code>'
+    2. Only use defined variables
+    3. Pass arguments directly to tools
+    4. Use print() to save intermediate results
+    5. End with final_answer tool
+
+[... rest of the prompts.yaml content remains the same ...]
+"""
+
+def ensure_files():
+    """Create necessary files if they don't exist."""
+    if not os.path.exists("prompts.yaml"):
+        with open("prompts.yaml", "w") as f:
+            f.write(DEFAULT_PROMPTS)
+    
+    if not os.path.exists("requirements.txt"):
+        with open("requirements.txt", "w") as f:
+            f.write(REQUIREMENTS)
+
+def initialize_agent() -> CodeAgent:
+    """Initialize and return a working CodeAgent."""
+    
+    # Ensure necessary files exist
+    ensure_files()
+    
+    # Initialize tools
     final_answer = FinalAnswerTool()
-model = HfApiModel(
-    max_tokens=2096,
-    temperature=0.5,
-    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-    custom_role_conversions=None,
-)
-
-with open("prompts.yaml", 'r') as stream:
-    prompt_templates = yaml.safe_load(stream)
-    
-# We're creating our CodeAgent
-agent = CodeAgent(
-    model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
-    max_steps=6,
-    verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
-)
-
-GradioUI(agent).launch()
+    
+    # Initialize model
+    model = HfApiModel(
+        max_tokens=2096,
+        temperature=0.5,
+        model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+        custom_role_conversions=None,
+    )
+    
+    # Load prompts
+    with open("prompts.yaml", "r") as f:
+        prompt_templates = yaml.safe_load(f)
+    
+    # Create agent
+    agent = CodeAgent(
+        model=model,
+        tools=[
+            final_answer,
+            calculator,
+            get_time,
+            text_generation,
+            # Add new tools here
+        ],
+        max_steps=6,
+        verbosity_level=1,
+        grammar=None,
+        planning_interval=None,
+        name=None,
+        description=None,
+        prompt_templates=prompt_templates
+    )
+    
+    return agent
+
+def main():
+    """Run the agent with Gradio UI."""
+    try:
+        agent = initialize_agent()
+        GradioUI(agent).launch()
+    except Exception as e:
+        print(f"Error starting agent: {str(e)}")
+        raise
+
+if __name__ == "__main__":
+    main()