ai-gradio 0.2.4

A Python package for creating Gradio applications with AI models

ai-gradio

A Python package that makes it easy for developers to create machine learning apps powered by various AI providers. Built on top of Gradio, it provides a unified interface for multiple AI models and services.

Features

Core Features

• Multi-Provider Support: Integrate with 15+ AI providers including OpenAI, Google Gemini, Anthropic, and more
• Text Chat: Interactive chat interfaces for all text models
• Voice Chat: Real-time voice interactions with OpenAI models
• Video Chat: Video processing capabilities with Gemini models
• Code Generation: Specialized interfaces for coding assistance
• Multi-Modal: Support for text, image, and video inputs
• Agent Teams: CrewAI integration for collaborative AI tasks
• Browser Automation: AI agents that can perform web-based tasks

Model Support

Core Language Models

Provider	Models
OpenAI	gpt-4-turbo, gpt-4, gpt-3.5-turbo
Anthropic	claude-3-opus, claude-3-sonnet, claude-3-haiku
Gemini	gemini-pro, gemini-pro-vision, gemini-2.0-flash-exp
Groq	llama-3.2-70b-chat, mixtral-8x7b-chat

Specialized Models

Provider	Type	Models
LumaAI	Generation	dream-machine, photon-1
DeepSeek	Multi-purpose	deepseek-chat, deepseek-coder, deepseek-vision
CrewAI	Agent Teams	Support Team, Article Team
Qwen	Language	qwen-turbo, qwen-plus, qwen-max
Browser	Automation	browser-use-agent

Installation

Basic Installation

# Install core package
pip install ai-gradio

# Install with specific provider support
pip install 'ai-gradio[openai]'     # OpenAI support
pip install 'ai-gradio[gemini]'     # Google Gemini support
pip install 'ai-gradio[anthropic]'  # Anthropic Claude support
pip install 'ai-gradio[groq]'       # Groq support

# Install all providers
pip install 'ai-gradio[all]'

Additional Providers

pip install 'ai-gradio[crewai]'     # CrewAI support
pip install 'ai-gradio[lumaai]'     # LumaAI support
pip install 'ai-gradio[xai]'        # XAI/Grok support
pip install 'ai-gradio[cohere]'     # Cohere support
pip install 'ai-gradio[sambanova]'  # SambaNova support
pip install 'ai-gradio[hyperbolic]' # Hyperbolic support
pip install 'ai-gradio[deepseek]'   # DeepSeek support
pip install 'ai-gradio[smolagents]' # SmolagentsAI support
pip install 'ai-gradio[fireworks]'  # Fireworks support
pip install 'ai-gradio[together]'   # Together support
pip install 'ai-gradio[qwen]'       # Qwen support
pip install 'ai-gradio[browser]'    # Browser support

Usage

API Key Configuration

# Core Providers
export OPENAI_API_KEY=<your token>
export GEMINI_API_KEY=<your token>
export ANTHROPIC_API_KEY=<your token>
export GROQ_API_KEY=<your token>

# Additional Providers (as needed)
export LUMAAI_API_KEY=<your token>
export XAI_API_KEY=<your token>
export COHERE_API_KEY=<your token>
# ... (other provider keys)

Quick Start

import gradio as gr
import ai_gradio

# Create a simple chat interface
gr.load(
    name='openai:gpt-4-turbo',  # or 'gemini:gemini-1.5-flash', 'groq:llama-3.2-70b-chat'
    src=ai_gradio.registry,
    title='AI Chat',
    description='Chat with an AI model'
).launch()

Advanced Features

Voice Chat

gr.load(
    name='openai:gpt-4-turbo',
    src=ai_gradio.registry,
    enable_voice=True,
    title='AI Voice Assistant'
).launch()

Multi-Provider Interface

import gradio as gr
import ai_gradio

with gr.Blocks() as demo:
    with gr.Tab("Text"):
        gr.load('openai:gpt-4-turbo', src=ai_gradio.registry)
    with gr.Tab("Vision"):
        gr.load('gemini:gemini-pro-vision', src=ai_gradio.registry)
    with gr.Tab("Code"):
        gr.load('deepseek:deepseek-coder', src=ai_gradio.registry)

demo.launch()

CrewAI Teams

# Article Creation Team
gr.load(
    name='crewai:gpt-4-turbo',
    src=ai_gradio.registry,
    crew_type='article',
    title='AI Writing Team'
).launch()

Browser Automation

import gradio as gr
import ai_gradio

# Create a browser automation interface
gr.load(
    name='browser:gpt-4-turbo',
    src=ai_gradio.registry,
    title='AI Browser Assistant',
    description='Let AI help with web tasks'
).launch()

Example tasks:

• Flight searches on Google Flights
• Weather lookups
• Product price comparisons
• News searches

Requirements

Core Requirements

• Python 3.10+
• gradio >= 5.9.1

Optional Features

• Voice Chat: gradio-webrtc, numba==0.60.0, pydub, librosa
• Video Chat: opencv-python, Pillow
• Agent Teams: crewai>=0.1.0, langchain>=0.1.0

Troubleshooting

Authentication Issues

If you encounter 401 errors, verify your API keys:

import os

# Set API keys manually if needed
os.environ["OPENAI_API_KEY"] = "your-api-key"
os.environ["GEMINI_API_KEY"] = "your-api-key"

Provider Installation

If you see "no providers installed" errors:

# Install specific provider
pip install 'ai-gradio[provider_name]'

# Or install all providers
pip install 'ai-gradio[all]'

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.