Skip to main content

Drive ChatGPT and Gemini from Python — no API keys, no billing, just the free web UI.

Project description

Hermex
Drive ChatGPT and Gemini from Python — no API keys, no billing, just the free web UI.

PyPI Python 3.11+ MIT License GitHub Repo


ChatGPT and Gemini are incredibly capable — but their official APIs are expensive, and for many tasks you simply don't need them. If you want to run OCR on an image, generate artwork, extract text from a screenshot, or just ask a quick question in a script, paying per-token for API access is overkill when the free web UI can do the same thing.

Hermex lets you drive ChatGPT and Gemini from Python just like a human would: it opens a real Chrome browser, types your message, uploads your images, waits for the response, and hands it back to you as a Python object. No API keys, no billing, no rate-limit tiers.

from hermex import ChatGPT

response = ChatGPT.simple_query("What does this receipt say?", images=["receipt.jpg"])
print(response.text)

It uses undetected-chromedriver under the hood to avoid bot detection, and reuses a persistent browser profile so your login session survives across runs.

Installation

pip install hermex

Requires Python 3.11+ and Google Chrome 130+.

First-time setup

Hermex reuses a persistent Chrome profile so you only need to log in once:

from hermex import Gemini

Gemini.setup()  # opens a browser — log in, browse briefly, then close the window

After setup, all future runs reuse the saved session automatically. Repeat this if your session expires.

Guest mode (no login) works for basic text queries on Gemini but image upload requires a logged-in session. ChatGPT works without login for all features including image upload.

Usage

Single query

from hermex import Gemini, ChatGPT

# Gemini
gemini = Gemini()
gemini.open_url()
response = gemini.query("Summarize the history of the internet.")
print(response.text)
gemini.close()

# ChatGPT
chatgpt = ChatGPT()
chatgpt.open_url()
response = chatgpt.query("Summarize the history of the internet.")
print(response.text)
chatgpt.close()

Sending images

response = gemini.query(
    "Describe what's in this image.",
    images=["photo.jpg"],
)
print(response.text)

One-shot query

from hermex import Gemini, ChatGPT

response = Gemini.simple_query("What is the capital of France?")
print(response.text)

response = ChatGPT.simple_query("What is the capital of France?")
print(response.text)

# With an image
response = Gemini.simple_query("Describe this image.", images=["photo.jpg"])
print(response.text)

AssistantMessage object

query() and get_last_response() return an AssistantMessage dataclass:

@dataclass
class AssistantMessage:
    text: str | None   # plain text (or markdown if get_markdown=True)
    image: Path | None # path to downloaded image, or None

API reference

Both Gemini and ChatGPT share the same interface — all methods below apply to both unless noted.

Method Description
open_url(url, timeout) Open the chat interface in the browser
send_message(message, submit, images, paste, fake_typing, typing_delay) Type and optionally submit a message
query(message, timeout, images, paste, get_markdown, remove_watermark) Send a message, wait for the response, and return it
get_last_response(get_markdown, remove_watermark) Retrieve the most recent response
wait_until_idle(timeout) Block until the chatbot finishes generating
get_state() Return the current UI state (State.IDLE, GENERATING, TYPING, UPLOADING)
simple_query(prompt, images, timeout) Class method — open, query, close in one call
short_wait() Sleep ~7 seconds
long_wait() Sleep ~5 minutes
refresh_page() Reload the current page
close() Close the browser
setup() One-time login setup (class method)

Constructor options

Gemini(
    chrome_version=None,      # auto-detected from installed Chrome
    download_dir=Path("."),   # where generated images are saved
    headless=False,
    typing_delay=0.025,       # seconds between keystrokes
    disable_web_security=True,
)
# ChatGPT accepts the same parameters

Watermark removal

Gemini watermarks its generated images. Pass remove_watermark=True to strip it:

response = gemini.query("Generate an image of a sunset.", remove_watermark=True)

Notes

  • Bot detection is mitigated through per-character typing delays, fake typing before paste, a persistent browser profile, and a spoofed user agent. Avoid running headless for sensitive sessions.
  • Browser profile and session data are stored in the platform data directory (~/Library/Application Support/hermex on macOS).

Project details


Download files

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

Source Distribution

hermex-0.1.0.tar.gz (28.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hermex-0.1.0-py3-none-any.whl (28.9 kB view details)

Uploaded Python 3

File details

Details for the file hermex-0.1.0.tar.gz.

File metadata

  • Download URL: hermex-0.1.0.tar.gz
  • Upload date:
  • Size: 28.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for hermex-0.1.0.tar.gz
Algorithm Hash digest
SHA256 de58475309738f4543bc6b84279b5e465ef846bfdccab1234e32f69670dd78d5
MD5 e3750d7a380c4cf91c8cee4453934e11
BLAKE2b-256 f431eedcbb8387a6bece8ecd2b99308c948751786870a036f9bdbf4ee78c7517

See more details on using hashes here.

Provenance

The following attestation bundles were made for hermex-0.1.0.tar.gz:

Publisher: publish.yml on pseudo-usama/hermex

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file hermex-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: hermex-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 28.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for hermex-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8b9bc8982938a729d9818a4287a861a8098aeb5f4704f579680970b89622412c
MD5 1a014fc2079abb45731c026bc6ba6b54
BLAKE2b-256 26688376080e2b4d478ba7a7122c82d91ccf12979c45c203c659dc6df5d2548e

See more details on using hashes here.

Provenance

The following attestation bundles were made for hermex-0.1.0-py3-none-any.whl:

Publisher: publish.yml on pseudo-usama/hermex

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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