Update utils.py

utils.py

@@ -2,10 +2,10 @@ import os
 from dotenv import load_dotenv
 import pandas as pd
 import numpy as np
-# Swapped out Google for HuggingFaceHub
+from io import StringIO
 from langchain_community.llms import HuggingFaceHub 
 from langchain.agents.agent_types import AgentType
-# FIX: Corrected import path from langchain_community to langchain_experimental
+# Correct import path for create_pandas_dataframe_agent
 from langchain_experimental.agents import create_pandas_dataframe_agent 
 
 # Load environment variables
@@ -28,6 +28,26 @@ except Exception as e:
     llm = None
 
 
+def generate_eda_guide() -> str:
+    """Generates a detailed, instructional guide on the steps of EDA using the LLM."""
+    if not llm:
+        return "LLM not initialized. Cannot fetch guide."
+
+    prompt = (
+        "Act as a professional data analyst. Generate a list of 5 key steps for Exploratory "
+        "Data Analysis (EDA) on a tabular dataset. For each step, provide a brief, actionable "
+        "description. Format the output using numbered lists and markdown for clarity. "
+        "DO NOT include any code blocks or concluding remarks."
+    )
+
+    try:
+        # Running the prompt directly through the LLM instance.
+        response = llm.invoke(prompt)
+        return response.strip()
+    except Exception as e:
+        return f"Error generating guide: {e}"
+
+
 def perform_eda(df: pd.DataFrame) -> str:
     """Performs a preliminary Exploratory Data Analysis and returns a summary string."""
     
@@ -94,7 +114,6 @@ def query_agent(df: pd.DataFrame, query: str) -> str:
 
     try:
         # Create the agent
-        # NOTE: LangChain requires allow_dangerous_code=True for the agent to execute python code
         agent = create_pandas_dataframe_agent(
             llm,
             df,