Update app.py

app.py

@@ -1,11 +1,76 @@
 import os
-from typing import Optional
+from dataclasses import dataclass
+from typing import Any, Callable, Dict, List, Optional
 
 import gradio as gr
 import pandas as pd
+import torch
+from litellm import completion
 
-from minimal_agent import MinimalAgent
+# Agent Implementation
+@dataclass
+class Tool:
+    """Simplified tool class"""
+    name: str
+    description: str
+    func: Callable
 
+class MinimalAgent:
+    """Minimal agent implementation for demo purposes"""
+    
+    def __init__(
+        self,
+        model_id: str = "gpt-4o-mini",
+        temperature: float = 0.7,
+        max_steps: int = 5
+    ):
+        self.model_id = model_id
+        self.temperature = temperature
+        self.max_steps = max_steps
+        self.tools: List[Tool] = []
+        
+    def add_tool(self, name: str, description: str, func: Callable) -> None:
+        """Add a tool to the agent"""
+        self.tools.append(Tool(name=name, description=description, func=func))
+        
+    def run(self, prompt: str, **kwargs) -> str:
+        """Run the agent with a prompt"""
+        messages = [
+            {"role": "system", "content": self._get_system_prompt()},
+            {"role": "user", "content": prompt}
+        ]
+        
+        try:
+            response = completion(
+                model=self.model_id,
+                messages=messages,
+                temperature=self.temperature,
+            )
+            return response.choices[0].message.content
+        except Exception as e:
+            return f"Error: {str(e)}"
+            
+    def _get_system_prompt(self) -> str:
+        """Get the system prompt including available tools"""
+        tools_desc = "\n".join([
+            f"- {tool.name}: {tool.description}"
+            for tool in self.tools
+        ])
+        
+        return f"""You are a helpful AI agent that can analyze data and write code.
+        
+Available tools:
+{tools_desc}
+
+Additional capabilities:
+- Data analysis with pandas, numpy
+- Visualization with matplotlib, seaborn
+- Machine learning with sklearn
+- Statistical analysis with scipy
+
+Provide clear explanations and code examples."""
+
+# Analysis Functions
 def analyze_dataframe(df: pd.DataFrame, analysis_type: str) -> str:
     """Basic DataFrame analysis"""
     if analysis_type == "summary":