Chat with Local Files
With GPTScript, interacting with local files is simple and powerful. This can help you streamline repetitive or data-intensive tasks. In this guide, we'll build a script that can query Excel files, CSVs, and PDFs. We'll then use the script to read, transform, and utilize the data in these files.
Too Long; Didn't Read
The below command will allow GPTScript to work with the files in your ~/Documents directory. Change the directory if you want to restrict it.
Want to start using this script now? Just run:
gptscript --workspace=~/Documents github.com/gptscript-ai/local-files-demo
Getting Started
The rest of this guide will walk you through building and using a data processing assistant.
First, let's get some sample data to work with. You can clone our repo with our sample data:
git clone https://github.com/gptscript-ai/local-files-demo.git
cd local-files-demo
Next, open up a new gptscript file in your favorite editor. We'll call the file data-assistant.gpt.
vim data-assistant.gpt
All edits below are assumed to be in this file.
Create the Assistant
Add this to the file:
Name: Data Processing Assitant
Description: An assistant to help you with processing data found in files on your workstation. Helpful for querying spreadsheets, CSVs, JSON files, and PDFs.
Tools: github.com/gptscript-ai/structured-data-querier, github.com/gptscript-ai/pdf-reader
Context: github.com/gptscript-ai/context/workspace
Chat: true
You are a helpful data processing assistant. Your goal is to help the user with data processing.
Help the user accomplish their tasks using the tools you have.
When the user starts this chat, say hi, introduce yourself, and ask what you can help with.
This is the entire script. Here's what each part does:
Name and Description help the LLM understand the purpose of this tool. You should always have meaningful names and descriptions.
The Tools: ... line provides two useful tools to this assistant.
The structured-data-querier makes it possible to query CSV, XLSX, and JSON files as though they were SQL databases (using an application called DuckDB). This is extremely powerful when combined with the power of LLMs because it allows you to ask natural language questions that the LLM can then translate to SQL.
The pdf-reader parses and reads PDFs and returns the contents to the LLM. This will put the entire contents in your chat context, so it's not appropriate for extremely large PDFs, but it's handy for smaller ones.
Context: github.com/gptscript-ai/context/workspace introduces a context tool makes this assistant "workspace" aware. Its description reads:
Adds the workspace and tools needed to access the workspace to the current context
Basically, this context tool tells the LLM what the workspace directory is and instructs it to use that directory for reading and writing files. As we saw above, you can specify a workspace like this:
gptscript --workspace=/Your/path/here ...
If you don't specify one, a temporary directory will be created and used for the workspace.
This context tool also shares the sys.read, sys.write, and sys.ls built-in tools with the assistant.
Next we have Chat: true. This makes the current tool "chat-able". We refer to chat-able tools as agents or assistants.
Finally, we have the prompt:
You are a helpful data processing assistant. Your goal is to help the user with data processing. Help the user accomplish their tasks using the tools you have. When the user starts this chat, say hi, introduce yourself, and ask what you can help with.
Using the Assistant
When you run the assistant, you can specify your own workspace folder or our sample data directory Assuming you're using our sample data and have followed these instructions, here's how you run it:
gptscript --workspace=./sample-data data-assistant.gpt
Here's a few sample interactions with these files.
Cleaning up data
> whats in the key contacts file?
The key_contacts.txt file contains the following information:
Contains location, name & email
Scranton - Michael [email protected]
Stamford Martin [email protected]
Nashua - Rachael, [email protected]
Utica,Ross - [email protected]
Albany Allen [email protected]
Akron;Pam;[email protected]
Camden. Kali. [email protected]
Yonkers - Meredith - [email protected]
Rochester Kevin
Syracuse William [email protected]
Is there anything specific you would like to do with this information?
> That looks bad. Can you make a cleaned up csv of it?
Sure, I'll clean up the data and create a CSV file for you. Here's the cleaned-up data in CSV format:
Location,Name,Email
Scranton,Michael,[email protected]
Stamford,Martin,[email protected]
Nashua,Rachael,[email protected]
Utica,Ross,[email protected]
Albany,Allen,[email protected]
Akron,Pam,[email protected]
Camden,Kali,[email protected]
Yonkers,Meredith,[email protected]
Rochester,Kevin,
Syracuse,William,[email protected]
I will now create a CSV file with this cleaned-up data.
Identifying and fixing data gaps
> is there any missing data in that csv?
...
Yes, there is missing data in the CSV file. Specifically, the email for Kevin in Rochester is missing.
Would you like to update this information or perform any other actions?
> yes set his email to kev@ and use the same domain as the others
I will update Kevin's email to [email protected] in the CSV file.
Cross-referencing
> what were sales like for Kevin's location?
To find out sales for Kevin's location, I will need to check the yoy_sales.xlsx file for any relevant data. Let me take a
look at the contents of that file.
...
The sales data for Rochester, where Kevin is located, is as follows:
LOCATION │ PRODUCT SKU │ MARCH 2023 SALES │ MARCH 2024 SALES │ YOY SALES GROWTH (%)
────────────┼─────────────┼──────────────────┼──────────────────┼───────────────────────
Rochester │ SKU_001 │ $803.91 │ $843.10 │ 12.12%
Rochester │ SKU_002 │ $3,013.36 │ $3,159.02 │ 13.13%
Rochester │ SKU_003 │ $1,879.24 │ $1,968.20 │ 12.15%
Rochester │ SKU_004 │ $4,989.81 │ $5,239.30 │ 13.88%
Rochester │ SKU_005 │ $4,334.03 │ $4,550.73 │ 12.70%
Rochester │ SKU_006 │ $2,143.76 │ $2,251.95 │ 13.07%
Rochester │ SKU_007 │ $7,976.54 │ $8,375.37 │ 12.23%
Rochester │ SKU_008 │ $313.21 │ $328.87 │ 13.80%
Rochester │ SKU_009 │ $671.70 │ $705.29 │ 12.91%
Rochester │ SKU_010 │ $4,084.94 │ $4,289.19 │ 13.03%
Is there anything else you would like to know or do with this data?
Pulling all the info together
> Let's help Kevin raise sales. What promotions do we have going on?
...
Here are the current promotions for office paper products:
1. Dunder Supreme Multi-Purpose Paper
• Product SKU: SKU_001
• Promotion Period: May 1 - May 31
• Details: Buy two reams of Dunder Supreme and get one free. This paper is ideal for both professional and
personal use, made from sustainably sourced forests.
2. Scranton Elite Glossy Photo Paper
• Product SKU: SKU_003
• Promotion Period: May 1 - May 31
• Details: Receive a 25% discount on every pack. This paper is designed for vibrant color reproduction and
unrivaled photo quality, perfect for professional portfolios or family memories.
3. MiSlin Premium Cardstock
• Product SKU: SKU_005
• Promotion Period: May 1 - May 31
• Details: Buy one, get one 50% off on all cardstock purchases. This cardstock is ideal for presentations,
report covers, and crafts, praised for its durability and smooth finish.
These promotions can help Kevin boost sales in Rochester. Is there anything specific you would like to do with
this information?
> craft an email summarizing performance at this location and these promotions
Here's a draft email summarizing the performance at Kevin's location and the current promotions:
--------
Subject: Sales Performance and Upcoming Promotions for Rochester
Dear Kevin,
I hope this email finds you well.
I wanted to take a moment to review the recent sales performance for Rochester and share some exciting promotions
that can help boost our sales further.
Sales Performance: The sales data for Rochester has shown promising growth across various product SKUs. Here are
the highlights:
• SKU_001: March 2023 Sales: $803.91 | March 2024 Sales: $843.10 | YoY Growth: 12.12%
• SKU_002: March 2023 Sales: $3,013.36 | March 2024 Sales: $3,159.02 | YoY Growth: 13.13%
• SKU_003: March 2023 Sales: $1,879.24 | March 2024 Sales: $1,968.20 | YoY Growth: 12.15%
• SKU_004: March 2023 Sales: $4,989.81 | March 2024 Sales: $5,239.30 | YoY Growth: 13.88%
• SKU_005: March 2023 Sales: $4,334.03 | March 2024 Sales: $4,550.73 | YoY Growth: 12.70%
• SKU_006: March 2023 Sales: $2,143.76 | March 2024 Sales: $2,251.95 | YoY Growth: 13.07%
• SKU_007: March 2023 Sales: $7,976.54 | March 2024 Sales: $8,375.37 | YoY Growth: 12.23%
• SKU_008: March 2023 Sales: $313.21 | March 2024 Sales: $328.87 | YoY Growth: 13.80%
• SKU_009: March 2023 Sales: $671.70 | March 2024 Sales: $705.29 | YoY Growth: 12.91%
• SKU_010: March 2023 Sales: $4,084.94 | March 2024 Sales: $4,289.19 | YoY Growth: 13.03%
Upcoming Promotions: To further enhance our sales, we have some exciting promotions lined up for May:
1. Dunder Supreme Multi-Purpose Paper (SKU_001)
• Promotion Period: May 1 - May 31
• Details: Buy two reams and get one free. Ideal for both professional and personal use, made from sustainably
sourced forests.
2. Scranton Elite Glossy Photo Paper (SKU_003)
• Promotion Period: May 1 - May 31
• Details: Receive a 25% discount on every pack. Perfect for vibrant color reproduction and unrivaled photo
quality.
3. MiSlin Premium Cardstock (SKU_005)
• Promotion Period: May 1 - May 31
• Details: Buy one, get one 50% off on all cardstock purchases. Ideal for presentations, report covers, and
crafts.
These promotions are designed to attract more customers and increase our sales. Please ensure that these
promotions are prominently displayed and communicated to our customers.
If you have any questions or need further assistance, feel free to reach out.
Best regards,
[Your Name] [Your Position] [Your Contact Information]
--------
Feel free to customize this email further to better suit your needs. Let me know if there's anything else I can
assist you with!
Try it out yourself and see what you can come up with.
Next steps
Hopefully you've found this guide helpful. From here, you have several options:
- You can check out some of our other guides available in this section of the docs
- You can dive deeper into the options available when writing script