Skip to main content

This package contains implementation of a PDF file analyser with Google Gemini AI integrated into it.

Project description

gemini_pdf_analyser

Gemini PDF Analyser is an application used to analyse PDF files with Google Gemini AI integrated into it.

Source Code

The source code of the application Gemini PDF Analyser is available in Source Code.

Installation

pip install gemini_pdf_analyser

How to Use the Application?

Pre-requisites:

  1. Python installed in your device.
  2. .env file in the same directory as <GEMINI_PDF_ANALYSER_DIRECTORY> and has the value of GEMINI_API_KEY.
cd <GEMINI_PDF_ANALYSER_DIRECTORY>
python3 gemini_pdf_analyser.py

Note: Replace <GEMINI_PDF_ANALYSER_DIRECTORY> with the path to the directory of the application Gemini PDF Analyser.

Then, the application will start with something looking like in the screenshot below.

Application

You will then be asked to input the following values.

  1. Temperature - between 0 and 1 inclusive
  2. Top P - between 0 and 1 inclusive
  3. Top K - at least 1
  4. Max output tokens - at least 1

The following screenshot shows what is displayed after inputting the mentioned values.

PDF File Path Input

You will be required to input the path to the PDF file you want to analyse. Then, you will be asked to enter your question for analysis.

Question Input

Once you entered your question, the application will display the answer based on your question and the contents of the PDF file.

AI Response

Then, you will be asked whether you want to continue using the application or not. Enter "Y" for yes. Enter anything else for no.

Project details


Release history Release notifications | RSS feed

This version

1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gemini_pdf_analyser-1.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

gemini_pdf_analyser-1-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file gemini_pdf_analyser-1.tar.gz.

File metadata

  • Download URL: gemini_pdf_analyser-1.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.31.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.4

File hashes

Hashes for gemini_pdf_analyser-1.tar.gz
Algorithm Hash digest
SHA256 7c47d00886c45b854fc15accb0b68686701dff7c0155c5a1796b33a837e1328d
MD5 61bb15f02d6c61481473efc451026476
BLAKE2b-256 3c7f1d878988787131d0817b500a2ac197766036ecf5bcac63acd9954ebca236

See more details on using hashes here.

File details

Details for the file gemini_pdf_analyser-1-py3-none-any.whl.

File metadata

  • Download URL: gemini_pdf_analyser-1-py3-none-any.whl
  • Upload date:
  • Size: 4.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.31.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.4

File hashes

Hashes for gemini_pdf_analyser-1-py3-none-any.whl
Algorithm Hash digest
SHA256 45631a7c16d6ee915c57ebe28bda5987b64ded1727adad154aaf958ca1ecb2af
MD5 b948e3bf3c53fc2757f65d52fab9a593
BLAKE2b-256 a7ace2adf492ddbde662a81e84089f961447fe9a0ac3dc1b20cac3125200d692

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page