| Name | HalaGPT JSON |
| Version |
1.25.7
JSON |
| download |
| home_page | None |
| Summary | Library for interacting with multiple AI APIs |
| upload_time | 2025-07-12 10:44:37 |
| maintainer | None |
| docs_url | None |
| author | Dark |
| requires_python | >=3.6 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
library HalaGPT
HalaGPT is a free, powerful Python library designed to provide easy access to a variety of advanced AI models and tools. It offers a unified and straightforward interface to interact with multiple AI-powered features such as text generation, voice synthesis, chatbots, image generation, code assistance, and more — all available without complex setup. You do not need a key or anything like that, it is free.
---
Installation
Install HalaGPT quickly using pip:
```bash
pip install HalaGPT
```
or:
```bash
python -m pip install HalaGPT
```
Install HalaGPT via GitHub:
``bash
git clone https://github.com/HalaGPT/HalaGPT.git
```
---
Features and Modules
HalaGPT provides a rich set of AI modules to cover many use cases. All classes are imported in lowercase for consistency:
from HalaGPT import voice, image, blackbox, deepinfra, gpt, wormgpt, gemini, chat, deepseek
1. Voice
Generate human-like speech from text.
Supported voices: alloy, coral, echo, shimmer, verse, onyx
Supported styles: friendly, calm, noir_detective, cowboy
Example:
```python
from HalaGPT import voice
# Default voice
resp = voice.openai("Hello from HalaGPT!")
print(resp.get("result"))
# Custom voice and style
resp = voice.openai(
text="Welcome to HalaGPT voice service",
voice="echo",
style="calm"
)
print(resp.get("result"))
```
2. Image
Generate images from text prompts.
Supported models: fluex-pro, flux, schnell, imger-12, deepseek, gemini-2-5-pro, blackbox, redux, halagpt-7-i, r1, gpt-4-1
Example:
```python
from HalaGPT import image
resp = image.generate(
prompt="A futuristic city skyline at sunset",
model="imger-12"
)
print(resp.get("result"))
```
3. BlackBox
Specialized models for programming and development tasks.
Supported models: python, html, react, flask, fastapi, docker, git, and many more.
Example:
```python
from HalaGPT import blackbox
# Generate a Flask hello world app
resp = blackbox.ask(
text="Create a Flask 'Hello World' app",
model="python"
)
print(resp.get("result"))
```
4. DeepInfra
Access DeepInfra text models for advanced text tasks.
Supported models: deepseekv3, deepseekr1, qwen30, scout, phi-plus, wizard822, and more.
Example:
```python
from HalaGPT import deepinfra
resp = deepinfra.ask(
text="Explain the theory of relativity in simple terms",
model="deepseekv3"
)
print(resp.get("result"))
```
5. GPT
Unified access to popular GPT-style models.
Supported models: gpt-4, gpt-4o, gpt-4-1, gpt-voice, llama8, mistral, phi, qwen, gpt-music, o3, and more.
Example:
```python
from HalaGPT import gpt
resp = gpt.ask(
text="What is artificial intelligence?",
model="gpt-4o"
)
print(resp.get("result"))
```
6. WormGPT
DarkGPT and Worm endpoints for specialized conversational AI.
Example:
```python
from HalaGPT import wormgpt
resp1 = wormgpt.worm("Generate a random sci-fi plot outline")
print(resp1.get("result"))
resp2 = wormgpt.darkgpt("Write a compelling resume in Arabic")
print(resp2.get("result"))
```
7. Gemini
Access Google Gemini conversational models.
Example:
```python
from HalaGPT import gemini
resp = gemini.ask("Analyze the current crypto market trends.")
print(resp.get("result"))
```
8. Chat
Lightweight chat interface using OpenAI GPT-3.5.
Example:
```python
from HalaGPT import chat
resp = chat.ask("Who founded Apple Inc.?")
print(resp.get("result"))
```
9. DeepSeek
Code generation and understanding assistance.
Example:
```python
from HalaGPT import deepseek
resp = deepseek.codeify("Build a login page with HTML and JavaScript")
print(resp.get("result"))
```
---
Response Handling
Most functions return a dict with the following fields:
```
status: "OK", "Error", or "Bad"
```
result: Main output or raw response
error: Error message (if any)
Example:
```python
resp = gpt.ask("Tell me a joke", model="gpt-4")
if resp.get("status") == "OK":
print(resp.get("result"))
else:
print("Error:", resp.get("error", "Unknown error"))
```
---
Telegram Bot Integration
Easily integrate HalaGPT into Telegram bots:
```python
from HalaGPT import voice, chat, image
from telegram import Bot, Update
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
def start(update: Update, context):
update.message.reply_text("Welcome to HalaGPT bot!")
# Example: echo with GPT
def handle_text(update: Update, context):
user_text = update.message.text
resp = chat.ask(user_text)
update.message.reply_text(resp.get("result"))
updater = Updater("YOUR_TELEGRAM_TOKEN")
updater.dispatcher.add_handler(CommandHandler("start", start))
updater.dispatcher.add_handler(MessageHandler(Filters.text, handle_text))
updater.start_polling()
updater.idle()
```
---
Advantages
Free to use: No cost barriers for advanced AI.
Unified library: Multiple AI modules in one package.
Simple API: Start quickly without complex setup Without a key or anything like that, just send the request and you will receive a response.
Multilingual: Supports Arabic and English out of the box.
---
Requirements
```
Python 3.7+
```
requests
beautifulsoup4
mnemonic
pycountry
user_agent
---
Contributing & Support
Contributions, bug reports, and feature requests are welcome! Open issues on GitHub or contact the maintainer.
---
Contact
> owner Telegram: https://t.me/sii_3
> owner Telegram Channel: https://t.me/HalaGPT
> owner Instagram: https://www.instagram.com/1.44110
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"description": "library HalaGPT\n\nHalaGPT is a free, powerful Python library designed to provide easy access to a variety of advanced AI models and tools. It offers a unified and straightforward interface to interact with multiple AI-powered features such as text generation, voice synthesis, chatbots, image generation, code assistance, and more \u2014 all available without complex setup. You do not need a key or anything like that, it is free. \n\n\n---\n\nInstallation\n\nInstall HalaGPT quickly using pip:\n\n```bash\npip install HalaGPT\n```\nor:\n```bash\npython -m pip install HalaGPT\n```\n\nInstall HalaGPT via GitHub:\n\n``bash\ngit clone https://github.com/HalaGPT/HalaGPT.git\n```\n\n\n---\n\nFeatures and Modules\n\nHalaGPT provides a rich set of AI modules to cover many use cases. All classes are imported in lowercase for consistency:\n\nfrom HalaGPT import voice, image, blackbox, deepinfra, gpt, wormgpt, gemini, chat, deepseek\n\n1. Voice\n\nGenerate human-like speech from text.\n\nSupported voices: alloy, coral, echo, shimmer, verse, onyx\n\nSupported styles: friendly, calm, noir_detective, cowboy\n\n\nExample:\n\n```python\nfrom HalaGPT import voice\n\n# Default voice\nresp = voice.openai(\"Hello from HalaGPT!\")\nprint(resp.get(\"result\"))\n\n# Custom voice and style\nresp = voice.openai(\n text=\"Welcome to HalaGPT voice service\",\n voice=\"echo\",\n style=\"calm\"\n)\nprint(resp.get(\"result\"))\n```\n2. Image\n\nGenerate images from text prompts.\n\nSupported models: fluex-pro, flux, schnell, imger-12, deepseek, gemini-2-5-pro, blackbox, redux, halagpt-7-i, r1, gpt-4-1\n\n\nExample:\n\n```python\nfrom HalaGPT import image\n\nresp = image.generate(\n prompt=\"A futuristic city skyline at sunset\",\n model=\"imger-12\"\n)\nprint(resp.get(\"result\"))\n```\n\n3. BlackBox\n\nSpecialized models for programming and development tasks.\n\nSupported models: python, html, react, flask, fastapi, docker, git, and many more.\n\n\nExample:\n\n```python\nfrom HalaGPT import blackbox\n\n# Generate a Flask hello world app\nresp = blackbox.ask(\n text=\"Create a Flask 'Hello World' app\",\n model=\"python\"\n)\nprint(resp.get(\"result\"))\n```\n\n4. DeepInfra\n\nAccess DeepInfra text models for advanced text tasks.\n\nSupported models: deepseekv3, deepseekr1, qwen30, scout, phi-plus, wizard822, and more.\n\n\nExample:\n\n```python\nfrom HalaGPT import deepinfra\n\nresp = deepinfra.ask(\n text=\"Explain the theory of relativity in simple terms\",\n model=\"deepseekv3\"\n)\nprint(resp.get(\"result\"))\n```\n\n5. GPT\n\nUnified access to popular GPT-style models.\n\nSupported models: gpt-4, gpt-4o, gpt-4-1, gpt-voice, llama8, mistral, phi, qwen, gpt-music, o3, and more.\n\n\nExample:\n\n```python\nfrom HalaGPT import gpt\n\nresp = gpt.ask(\n text=\"What is artificial intelligence?\",\n model=\"gpt-4o\"\n)\nprint(resp.get(\"result\"))\n```\n\n6. WormGPT\n\nDarkGPT and Worm endpoints for specialized conversational AI.\n\nExample:\n\n```python\nfrom HalaGPT import wormgpt\n\nresp1 = wormgpt.worm(\"Generate a random sci-fi plot outline\")\nprint(resp1.get(\"result\"))\n\nresp2 = wormgpt.darkgpt(\"Write a compelling resume in Arabic\")\nprint(resp2.get(\"result\"))\n```\n\n7. Gemini\n\nAccess Google Gemini conversational models.\n\nExample:\n\n```python\nfrom HalaGPT import gemini\n\nresp = gemini.ask(\"Analyze the current crypto market trends.\")\nprint(resp.get(\"result\"))\n```\n\n8. Chat\n\nLightweight chat interface using OpenAI GPT-3.5.\n\nExample:\n\n```python\nfrom HalaGPT import chat\n\nresp = chat.ask(\"Who founded Apple Inc.?\")\nprint(resp.get(\"result\"))\n```\n9. DeepSeek\n\nCode generation and understanding assistance.\n\nExample:\n\n```python\nfrom HalaGPT import deepseek\n\nresp = deepseek.codeify(\"Build a login page with HTML and JavaScript\")\nprint(resp.get(\"result\"))\n```\n\n---\n\nResponse Handling\n\nMost functions return a dict with the following fields:\n\n```\nstatus: \"OK\", \"Error\", or \"Bad\"\n```\n\nresult: Main output or raw response\n\nerror: Error message (if any)\n\n\nExample:\n\n```python\nresp = gpt.ask(\"Tell me a joke\", model=\"gpt-4\")\nif resp.get(\"status\") == \"OK\":\n print(resp.get(\"result\"))\nelse:\n print(\"Error:\", resp.get(\"error\", \"Unknown error\"))\n```\n\n---\n\nTelegram Bot Integration\n\nEasily integrate HalaGPT into Telegram bots:\n\n```python\nfrom HalaGPT import voice, chat, image\nfrom telegram import Bot, Update\nfrom telegram.ext import Updater, CommandHandler, MessageHandler, Filters\n\ndef start(update: Update, context):\n update.message.reply_text(\"Welcome to HalaGPT bot!\")\n\n# Example: echo with GPT\ndef handle_text(update: Update, context):\n user_text = update.message.text\n resp = chat.ask(user_text)\n update.message.reply_text(resp.get(\"result\"))\n\nupdater = Updater(\"YOUR_TELEGRAM_TOKEN\")\nupdater.dispatcher.add_handler(CommandHandler(\"start\", start))\nupdater.dispatcher.add_handler(MessageHandler(Filters.text, handle_text))\nupdater.start_polling()\nupdater.idle()\n```\n\n\n---\n\nAdvantages\n\nFree to use: No cost barriers for advanced AI.\n\nUnified library: Multiple AI modules in one package.\n\nSimple API: Start quickly without complex setup Without a key or anything like that, just send the request and you will receive a response. \n\nMultilingual: Supports Arabic and English out of the box.\n\n\n---\n\nRequirements\n\n```\nPython 3.7+\n```\n\nrequests\n\nbeautifulsoup4\n\nmnemonic\n\npycountry\n\nuser_agent\n\n\n\n---\n\nContributing & Support\n\nContributions, bug reports, and feature requests are welcome! Open issues on GitHub or contact the maintainer.\n\n\n---\n\nContact\n\n> owner Telegram: https://t.me/sii_3\n> owner Telegram Channel: https://t.me/HalaGPT\n> owner Instagram: https://www.instagram.com/1.44110\n\n",
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