A Python package for creating Gradio applications with AI models
Project description
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>
export TAVILY_API_KEY=<your token> # Required for Langchain agents
# 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)
# Twilio credentials (required for WebRTC voice chat)
export TWILIO_ACCOUNT_SID=<your Twilio account SID>
export TWILIO_AUTH_TOKEN=<your Twilio auth token>
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()
# Create a chat interface with Transformers models
gr.load(
name='transformers:phi-4', # or 'transformers:tulu-3', 'transformers:olmo-2-13b'
src=ai_gradio.registry,
title='Local AI Chat',
description='Chat with locally running models'
).launch()
# Create a coding assistant with OpenAI
gr.load(
name='openai:gpt-4-turbo',
src=ai_gradio.registry,
coder=True,
title='OpenAI Code Assistant',
description='OpenAI Code Generator'
).launch()
# Create a coding assistant with Gemini
gr.load(
name='gemini:gemini-2.0-flash-thinking-exp-1219', # or 'openai:gpt-4-turbo', 'anthropic:claude-3-opus'
src=ai_gradio.registry,
coder=True,
title='Gemini Code Generator',
).launch()
Advanced Features
Voice Chat
gr.load(
name='openai:gpt-4-turbo',
src=ai_gradio.registry,
enable_voice=True,
title='AI Voice Assistant'
).launch()
Camera Mode
# Create a vision-enabled interface with camera support
gr.load(
name='gemini:gemini-2.0-flash-exp',
src=ai_gradio.registry,
camera=True,
).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
playwright install
use python 3.11+ for browser use
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
Swarms Integration
import gradio as gr
import ai_gradio
# Create a chat interface with Swarms
gr.load(
name='swarms:gpt-4-turbo', # or other OpenAI models
src=ai_gradio.registry,
agent_name="Stock-Analysis-Agent", # customize agent name
title='Swarms Chat',
description='Chat with an AI agent powered by Swarms'
).launch()
Langchain Agents
import gradio as gr
import ai_gradio
# Create a Langchain agent interface
gr.load(
name='langchain:gpt-4-turbo', # or other supported models
src=ai_gradio.registry,
title='Langchain Agent',
description='AI agent powered by Langchain'
).launch()
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.
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