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---
title: H GPT40
emoji: 🐢
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 4.37.1
app_file: app.py
pinned: false
license: afl-3.0
---
# H GPT4o - AI Assistant
## Overview
**H GPT4o** is an AI-powered assistant that combines rich conversational abilities with advanced capabilities, such as image generation, web search, and Q&A with images. Built with cutting-edge AI models, it provides users with an engaging and powerful tool to explore creativity, gather information, and solve problems.
## Model Description and Usage
### 1. **Gemma (Mistral-7B-Instruct-v0.3)**
- **Purpose**: Used for general conversation and generating responses to user queries.
- **Usage**: This model processes text-based inputs and generates human-like responses. It also orchestrates function calls for specific tasks like web search, image generation, and image-based Q&A.
### 2. **Mixtral (Nous-Hermes-2-Mixtral-8x7B-DPO)**
- **Purpose**: Handles complex queries, especially those requiring web-based information.
- **Usage**: Mixtral is responsible for summarizing web search results and generating detailed and structured responses based on external data.
### 3. **LLaMA (Meta-Llama-3-8B-Instruct)**
- **Purpose**: Acts as a fallback model for text generation tasks.
- **Usage**: When other models fail to generate a response, LLaMA is used to continue the conversation, ensuring uninterrupted interaction.
### 4. **Yi-1.5 (34B-Chat)**
- **Purpose**: Provides diverse and creative responses.
- **Usage**: Yi-1.5 enhances the assistant's ability to reply like a human friend with a friendly tone, short forms, and emojis.
### 5. **LLaVA (llava-interleave-qwen-0.5b-hf)**
- **Purpose**: Used for image-based Q&A and understanding visual content.
- **Usage**: LLaVA processes and analyzes images, enabling the assistant to answer questions related to the visual content provided by the user.
## Pipeline Description
### Input Processing
H GPT4o distinguishes between different input types (text, images) and processes them accordingly:
- **Text Inputs**: Direct user queries or prompts are sent to the `respond` function, which handles conversation flow and decides if additional functions like web search or image generation are needed.
- **Image Inputs**: If an image is provided, the system utilizes LLaVA to analyze the image in context with the accompanying text. The assistant can then answer questions related to the visual content.
### Function Call Management
The assistant has access to several function calls to extend its capabilities:
- **Web Search**: Initiated when the query requires external information, such as current events or detailed topics not covered by the model’s knowledge base.
- **Image Generation**: Generates images based on user prompts, leveraging powerful text-to-image models.
- **Image Q&A**: Answers questions related to images provided by the user.
### Conversational Flow
1. **Initial Response**: The conversation begins with Gemma handling general queries and responses.
2. **Function Execution**: Depending on the query, the assistant may call a specific function (e.g., web search, image generation).
3. **Web Search Integration**: If a web search is required, the Mixtral model processes and summarizes the results.
4. **Image Generation**: Image generation requests are handled by the `image_gen` function, which leverages external APIs or models.
5. **Fallbacks**: If primary models fail to provide a response, the LLaMA model is used to continue the conversation.
6. **Final Output**: The response, along with any generated images or information, is returned to the user.
### Distinguishing Inputs
- **Text Inputs**: Any input in plain text is treated as a user query or command, processed by the appropriate text-generation model.
- **Image Inputs**: Files uploaded by the user are identified as images. The system automatically routes these to LLaVA for analysis. The combination of text and image is used to create a context-specific response.
### Example Usage
- **Text-Based Query**: "What is the latest trend in AI technology?"
- **Image-Based Query**: "Can you describe the content of this image?" (with an image file attached)
- **Image Generation**: "Generate an image of a futuristic city at sunset."
## How It Works
1. **User Interaction**: Users interact with H GPT4o through a chat interface, where they can input text and upload images.
2. **Input Processing**: The system processes the input to determine the type (text or image) and routes it through the appropriate pipeline.
3. **Model Execution**: Based on the input type, the system selects the relevant model and executes the necessary function (e.g., web search, image generation, image analysis).
4. **Response Generation**: The system generates a response, which may include text, images, or both, and displays it to the user.
## Installation
Ensure you have the following dependencies installed:
```bash
pip install gradio transformers huggingface-hub requests beautifulsoup4 PIL
```
## Running the Application
To run the application, simply execute the following command:
```bash
python app.py
```
This will start the Gradio interface, allowing users to interact with H GPT4o.
## Conclusion
H GPT4o offers a versatile and interactive AI assistant capable of handling a wide range of tasks, from general conversation to advanced image analysis. Whether you're looking to generate images, search the web, or explore creative ideas, H GPT4o is designed to be your go-to assistant for all things AI.
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