Integrating GPT-4 Vision with Langchain for Real-Time Image Analysis

Note: Audio is generated by AI.

"Dive into the world of AI with our tutorial on integrating GPT-4 Vision with Langchain! 🌐🤖 In this video, we'll show you step-by-step how to harness the power of GPT-4 for real-time image analysis using your webcam. Perfect for beginners and tech enthusiasts alike, this tutorial simplifies the process, making AI more accessible than ever. 🎥🚀 Whether you're looking to enhance your skills or just curious about AI's capabilities, this video is your gateway to the future of technology. Don't forget to like, subscribe, and hit the bell for more AI adventures! 🔔💡 #GPT4 #Langchain #AI #TechTutorial"

# Code Starting:

import cv2
import time
import base64

def encode_image(image_url):
with open(image_url, "rb") as image_file:

cap = cv2.VideoCapture(0) # 0 stands for very first webcam attach

while True:

if not isSuccess:
print("Error reading frame")
break
base64_image = encode_image(filename)

chat = ChatOpenAI(model='gpt-4-vision-preview', max_tokens=256)

HumanMessage(
content=[
{"type": "text", "text": "What is this image about? Focus on detials and relpy in one line"},
{"type": "image_url",
"image_url": {
"url": "data:image/png;base64," + base64_image,
"detail": "auto"
}}
])
])

print(output)

# End Code