Skip to main content

A package for interacting with GPT4-based chat services, OpenChat, Bard, Gemini, LlaMa, Mixtral, Prodia, Kandinsky, Absolutebeauty, Sdxl, Dalle and AI Icon

Project description

rsnchat

This package package for interacting with GPT4-based chat services, OpenChat, Bard, Gemini, LlaMa, Mixtral, Claude, Prodia, Kandinsky, Absolutebeauty, Sdxl, Dalle and AI Icon without restrictions or limits

Installation

You can install the package via Pypi

pip install rsnchat

APIKEY

Discord : https://discord.gg/r5QWdKfQxr

Join discord server and create account with /new slash command and get your apikey with /key slash command for free!

Usage GPT4

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

gpt_response = rsn_chat.gpt("hello what is your name?")
print(gpt_response.get('message', ''))

Usage OpenChat

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

openchat_response = rsn_chat.openchat("hello what is your name?")
print(openchat_response.get('message', ''))

Usage Bard

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

bard_response = rsn_chat.bard("hello what is your name?")
print(bard_response.get('message', ''))

Usage Gemini

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

gemini_response = rsn_chat.gemini("hello what is your name?")
print(gemini_response.get('message', ''))

Usage LlaMa

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

llama_response = rsn_chat.llama("hello what is your name?")
print(llama_response.get('message', ''))

Usage Mixtral

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

mixtral_response = rsn_chat.mixtral("hello what is your name?")
print(mixtral_response.get('message', ''))

Usage Prodia

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

prompt = "beautiful girl"
negative_prompt = "blury, bad quality"

model = "absolutereality_v181.safetensors [3d9d4d2b]"

response = rsn_chat.prodia(prompt, negative_prompt, model)

response.then(
    lambda response: print(response),
    lambda error: print(f"Error: {error}")
)

Prodia Models

List of prodia models

  • 3Guofeng3_v34.safetensors [50f420de]
  • absolutereality_V16.safetensors [37db0fc3]
  • absolutereality_v181.safetensors [3d9d4d2b]
  • amIReal_V41.safetensors [0a8a2e61]
  • analog-diffusion-1.0.ckpt [9ca13f02]
  • anythingv3_0-pruned.ckpt [2700c435]
  • anything-v4.5-pruned.ckpt [65745d25]
  • anythingV5_PrtRE.safetensors [893e49b9]
  • AOM3A3_orangemixs.safetensors [9600da17]
  • blazing_drive_v10g.safetensors [ca1c1eab]
  • cetusMix_Version35.safetensors [de2f2560]
  • childrensStories_v13D.safetensors [9dfaabcb]
  • childrensStories_v1SemiReal.safetensors [a1c56dbb]
  • childrensStories_v1ToonAnime.safetensors [2ec7b88b]
  • Counterfeit_v30.safetensors [9e2a8f19]
  • cuteyukimixAdorable_midchapter3.safetensors [04bdffe6]
  • cyberrealistic_v33.safetensors [82b0d085]
  • dalcefo_v4.safetensors [425952fe]
  • deliberate_v2.safetensors [10ec4b29]
  • deliberate_v3.safetensors [afd9d2d4]
  • dreamlike-anime-1.0.safetensors [4520e090]
  • dreamlike-diffusion-1.0.safetensors [5c9fd6e0]
  • dreamlike-photoreal-2.0.safetensors [fdcf65e7]
  • dreamshaper_6BakedVae.safetensors [114c8abb]
  • dreamshaper_7.safetensors [5cf5ae06]
  • dreamshaper_8.safetensors [9d40847d]
  • edgeOfRealism_eorV20.safetensors [3ed5de15]
  • EimisAnimeDiffusion_V1.ckpt [4f828a15]
  • elldreths-vivid-mix.safetensors [342d9d26]
  • epicrealism_naturalSinRC1VAE.safetensors [90a4c676]
  • ICantBelieveItsNotPhotography_seco.safetensors [4e7a3dfd]
  • juggernaut_aftermath.safetensors [5e20c455]
  • lofi_v4.safetensors [ccc204d6]
  • lyriel_v16.safetensors [68fceea2]
  • majicmixRealistic_v4.safetensors [29d0de58]
  • mechamix_v10.safetensors [ee685731]
  • meinamix_meinaV9.safetensors [2ec66ab0]
  • meinamix_meinaV11.safetensors [b56ce717]
  • neverendingDream_v122.safetensors [f964ceeb]
  • openjourney_V4.ckpt [ca2f377f]
  • pastelMixStylizedAnime_pruned_fp16.safetensors [793a26e8]
  • portraitplus_V1.0.safetensors [1400e684]
  • protogenx34.safetensors [5896f8d5]
  • Realistic_Vision_V1.4-pruned-fp16.safetensors [8d21810b]
  • Realistic_Vision_V2.0.safetensors [79587710]
  • Realistic_Vision_V4.0.safetensors [29a7afaa]
  • Realistic_Vision_V5.0.safetensors [614d1063]
  • redshift_diffusion-V10.safetensors [1400e684]
  • revAnimated_v122.safetensors [3f4fefd9]
  • rundiffusionFX25D_v10.safetensors [cd12b0ee]
  • rundiffusionFX_v10.safetensors [cd4e694d]
  • sdv1_4.ckpt [7460a6fa]
  • shoninsBeautiful_v10.safetensors [25d8c546]
  • theallys-mix-ii-churned.safetensors [5d9225a4]
  • timeless-1.0.ckpt [7c4971d4]
  • toonyou_beta6.safetensors [980f6b15]

Usage Kandinsky

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

# Define your prompt and negative prompt
prompt = "beautiful girl"
negative_prompt = "blury, bad quality"

# Send the Kandinsky prompt
response = rsn_chat.kandinsky(prompt, negative_prompt)

# Process and print the response
response.then(
    lambda response: print(response),
    lambda error: print(f"Error: {error}")
)

Usage Absolutebeauty

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

prompt = "beautiful girl"
negative_prompt = "blury, bad quality"

response = rsn_chat.absolutebeauty(prompt, negative_prompt)

response.then(
    lambda response: print(response),
    lambda error: print(f"Error: {error}")
)

Usage Sdxl

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

prompt = "beautiful girl"
negative_prompt = "blury, bad quality"

response = rsn_chat.sdxl(prompt, negative_prompt)

response.then(
    lambda response: print(response),
    lambda error: print(f"Error: {error}")
)

Usage Dalle

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

prompt = "beautiful girl"
negative_prompt = "blury, bad quality"

response = rsn_chat.dalle(prompt, negative_prompt)

response.then(
    lambda response: print(response),
    lambda error: print(f"Error: {error}")
)

Usage AI Icon

from rsnchat import RsnChat

rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")

prompt = "beautiful girl"
negative_prompt = "blury, bad quality"

response = rsn_chat.icon(prompt, negative_prompt)

response.then(
    lambda response: print(response),
    lambda error: print(f"Error: {error}")
)

The version 3.0.6 of the Python (PIP) package of the RSN-Chat is equivalent to the version 3.0.6 of the RSN-Chat JavaScript (NPM) package

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

rsnchat-4.0.0.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

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

rsnchat-4.0.0-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file rsnchat-4.0.0.tar.gz.

File metadata

  • Download URL: rsnchat-4.0.0.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.9

File hashes

Hashes for rsnchat-4.0.0.tar.gz
Algorithm Hash digest
SHA256 e0a2692b70997022f19ac740d61a369adef74cc0ef73a18077531a686cc99738
MD5 b2c7374058733fa9cd164415c1043003
BLAKE2b-256 aed855b485c873bf37350cae0f04cddf4062a0e0aeaac2811a42961fda81f2d1

See more details on using hashes here.

File details

Details for the file rsnchat-4.0.0-py3-none-any.whl.

File metadata

  • Download URL: rsnchat-4.0.0-py3-none-any.whl
  • Upload date:
  • Size: 3.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.9

File hashes

Hashes for rsnchat-4.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a120786f85f046575c8e9691359d451337efa25449259c9a13c2b62050604a38
MD5 91957ad405187f3224b5b05478d6101e
BLAKE2b-256 7f5e17eceace759d303acb5757026dbd09b61188c9993fa94acf2f5ede745787

See more details on using hashes here.

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