llama 3 2 vision ollama chat with images locally

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llama 3 is a powerful language model designed by meta, and its capabilities can be enhanced by using image inputs, particularly when integrated with vision capabilities. this tutorial will guide you through setting up and using llama 3 with vision for local chat applications that can process images and text. we will leverage the `ollama` framework to simplify the deployment and interaction with the model.

prerequisites

1. **python**: ensure you have python 3.7 or higher installed.
2. **ollama**: install ollama by following the instructions on the [ollama website](https://ollama.com/).
3. **llama 3 model**: you'll need to download the llama 3 model via the ollama framework.

setup

1. **install ollama**: if you haven't installed ollama yet, run the following command in your terminal:



2. **download llama 3 model**: use the following command to pull the llama 3 model which has vision capabilities.



code example

here's a simple python script that demonstrates how to interact with llama 3 for a chat application that can also process images.

1. install required packages

you may need to install the following python packages if you haven't done so already:



2. create the chat application

below is a sample python code that demonstrates how to use the llama 3 model with image inputs.



explanation of the code

1. **importing libraries**:
`requests`: to make http requests to the ollama api.
`pil` (pillow): to handle image operations.

2. **chat_with_llama3 function**:
this function takes a text prompt and an optional image path.
it creates a data payload containing the prompt and the image.
it sends a post request to the llama 3 model endpoint.

3. **main execution block**:
specify the path to the image and the text prompt.
call the `chat_with_llama3` function and print the response.

running the application

1. make sure your ollama server is running. you can start it by running:



2. run your python script:

...

#Llama3 #OllamaChat #axios
Llama 3
vision model
Ollama chat
local image processing
AI image generation
conversational AI
local deployment
machine learning
natural language processing
image recognition
visual input
interactive chat
AI models
text-to-image
generative AI