chat bot

Got it — you want to create a local AI chatbot that can answer questions based on the content of an Excel file you provide, and you’ll be using VS Code to build it.

I’ll walk you through the process step-by-step and then give you a working Python example.

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Plan

1. Tech Stack

• Language: Python
• Editor: VS Code
• Libraries:
  • pandas → for reading Excel
  • openpyxl → Excel engine for .xlsx
  • langchain (optional) → for question-answering logic
  • ollama / transformers → for local AI model (you mentioned earlier you might use ollama gpt-oss:20b)

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2. Basic Workflow

1. Read Excel File → Load all data into Python using pandas.
2. Convert Data to Text → Transform rows into a searchable text format.
3. Ask Question → Take the user’s query.
4. Search for Relevant Data → Use either:
   • Simple: Keyword search in dataframe
   • Advanced: Embeddings + vector search for semantic meaning
5. Generate Answer → Feed the found data to the AI model to create a natural answer.

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3. Example — Simple Local Chatbot (No Internet Needed)

import pandas as pd

# Step 1: Load Excel data
file_path = "data.xlsx"  # Your Excel file path
df = pd.read_excel(file_path)

# Step 2: Create chatbot loop
print("Excel Chatbot is ready! (type 'exit' to quit)")

while True:
    query = input("\nYou: ")
    if query.lower() == "exit":
        break

    # Step 3: Search Excel (case-insensitive)
    matches = df[df.apply(lambda row: row.astype(str).str.contains(query, case=False).any(), axis=1)]

    if matches.empty:
        print("Bot: Sorry, I couldn't find anything related.")
    else:
        print("Bot: I found the following matching rows:\n")
        print(matches.to_string(index=False))

✅ How it works

• Reads your Excel into a dataframe.
• Looks for rows containing your query.
• Prints all matches.
• Works completely offline.

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4. If You Want AI-Generated Answers

If you want a real AI model to understand the Excel and answer in natural language, you can:

• Install Ollama locally (ollama run llama2 or ollama run mistral)
• Use langchain to connect Excel → AI model.

Example snippet:

from langchain_community.llms import Ollama
import pandas as pd

# Load Excel
df = pd.read_excel("data.xlsx")

# Convert Excel to text
data_text = "\n".join(df.astype(str).apply(lambda x: " | ".join(x), axis=1))

# Initialize local AI model
llm = Ollama(model="mistral")

while True:
    question = input("\nYou: ")
    if question.lower() == "exit":
        break

    prompt = f"Answer the question based on the following Excel data:\n{data_text}\n\nQuestion: {question}"
    answer = llm.invoke(prompt)
    print("Bot:", answer)

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If you tell me which model you want to use (like mistral, llama2, or your gpt-oss:20b), I can prepare a ready-to-run VS Code project with all dependencies.
Do you want me to make it keyword-based (fast) or AI semantic search (smart)?