GPT on My Files
Ask GPT to find the answer to your question in a file
Introduction
Welcome to the documentation for the “GPT on My File” Workflow! This Workflow is designed to provide you with answers to your questions on any PDF, CSV, or audio files using the power of GPT. Whether you are a researcher, analyst, or a professional in any field, this Workflow will assist you in extracting valuable insights from your files in a matter of seconds.
Overview
The “GPT on My File” Workflow leverages the advanced capabilities of GPT to analyze and generate responses to your questions based on the content of files you provide. By inputting a file and a question, the Workflow utilizes natural language processing and machine learning techniques to provide you with accurate and informative answers. By harnessing the power of AI and offering a user-friendly interface, this Workflow transforms the way you extract knowledge from your files.
Key Features
File Compatibility: The “GPT on My File” Workflow supports a wide range of file formats, including PDF, CSV, and audio files. Whether you have research papers, data tables, or recorded interviews, this Workflow can handle them all. Simply provide the Workflow with the URL of your file, and it will extract the necessary information for analysis.
Natural Language Processing and Machine Learning Capabilities: The Workflow utilizes a large language model to understand the context and meaning of your questions. It analyzes the structure and content of your files to generate accurate and relevant responses.
User-Friendly Interface: The “GPT on My File” Workflow features a user-friendly and intuitive design. You can easily upload your files, input your questions, and receive prompt and informative responses. The Workflow ensures a seamless and enjoyable user experience, allowing you to focus on the insights rather than the technicalities.
How to Use the Workflow
Locate the Workflow in the template page and click on Use template. You can use the Workflow as is or clone it.
Follow these steps to extract valuable insights from your files:
Upload File: Upload the file you want to analyze. The Workflow supports PDF, CSV, and audio file formats.
Input Question: Enter your question or prompt in the designated field. Be clear and specific to receive accurate and relevant responses. You can even instruct the Workflow to format the output in your desired way.
Note: LLMs are not designed or trained for statistical analysis. Questions like “How many projects were conducted?” or “What was the overall success of the x projects?” are likely to raise the “I could not find the answer” response unless there is a note in the provided information stating the answer.
Run the Workflow: Once you have uploaded the file and entered your question, click the Run Workflow button (on the App page) or use the run options on your data table (bulk/single run) to initiate the analysis process. The Workflow will process the file and generate a response based on the content and context of the file.
Tool execution can be:
Tested on individually provided inputs:
Single run on the App page
Single run on the Build page
Single run on the data table
Set to fetch the data from a dataset and apply the analysis on the whole dataset:
Bulk run on the data table
View Answer: The Workflow will provide you with a response to your question based on the information extracted from the file.
Deep Dive into the Workflow
Workflow Components
If you clone a template, or make a Workflow from scratch, you will have access to the Build tab. Build is where you put together different components to build a Workflow suitable for your needs.
User Inputs
File to Text: An easy-to-use, one-step component, which takes care of all you need when uploading a file and extracting text from it.
Text Input: An input text component suitable for short text pieces, such as name, topic, or question.
Workflow Actions
Large Language Model (LLM): A large language model component is all set up to provide you access to GPT (and many other LLMs). In the prompt section, you will provide the required information as well as instructions on what is expected to be done.
A Good Prompt
Provide the context at the top.
Be short and precise with your instruction/request from the LLM.
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