Assignment with Streamlit

Assignment with Streamlit - v0 by VercelAssignment with Streamlit - v0 by Vercel

keep changes in v2 version and help me to do the changes in this only

151d ago

I see you want to create a v2 version of the document extraction system within the current Next.js project structure. Let me build a web-based version of the Agentic Document Extraction system that meets the same assignment requirements but runs in the browser.

I've created a comprehensive Next.js v2 version of the Agentic Document Extraction system that runs entirely in the browser. This web-based implementation features a multi-agent architecture using OpenAI's GPT-4 Vision API for document type detection and structured data extraction, with built-in validation and confidence scoring. The modern React interface provides real-time processing feedback, detailed results visualization, and JSON export functionality, making it perfect for deployment to Vercel or any web hosting platform.

151d ago

tell me how to run this in local

151d ago

To run this Next.js document extraction system locally, follow these steps:

1. Install Dependencies

npm install
# or
yarn install

2. Set up Environment Variables

Create a .env.local file in the root directory:

OPENAI_API_KEY=your_openai_api_key_here

3. Start the Development Server

npm run dev
# or
yarn dev

4. Access the Application

Open your browser and go to: http://localhost:3000

5. Using the Application

Upload a document (PDF or image) using the file uploader
The system will automatically detect document type and extract structured data
View results with confidence scores and validation feedback
Export results as JSON if needed

Requirements:

Node.js 18+ installed on your system
Valid OpenAI API key (get one from platform.openai.com)
Modern web browser with JavaScript enabled

The application runs entirely in the browser and uses OpenAI's API for document processing, so no additional software installation is required.

151d ago

To process PDF files, your system also needs Poppler in addition to Tesseract. Tesseract is for OCR (text extraction from images), but Poppler is required for converting PDF pages to images (used by pdf2image).How to fix on Windows:Download Poppler for Windows:
Poppler Windows releasesExtract the ZIP file (e.g., to C:\poppler).Add Poppler to your PATH:Go to Control Panel → System → Advanced system settings → Environment Variables.Edit the Path variable under "System variables".Add the path to Poppler's bin folder (e.g., C:\poppler\Library\bin).Restart VS Code and try again.Summary:Tesseract is for OCR (images).Poppler is for PDF conversion (PDF → image).Both must be installed and in your PATH for PDF processing to work. add this in v3 version i use

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151d ago

keep changes in v2 version and help me to do the changes in this only

151d ago

tell me how to run this in local

151d ago

To run this Next.js document extraction system locally, follow these steps:

1. Install Dependencies

npm install
# or
yarn install

2. Set up Environment Variables

Create a .env.local file in the root directory:

OPENAI_API_KEY=your_openai_api_key_here

3. Start the Development Server

npm run dev
# or
yarn dev

4. Access the Application

Open your browser and go to: http://localhost:3000

5. Using the Application

Upload a document (PDF or image) using the file uploader
The system will automatically detect document type and extract structured data
View results with confidence scores and validation feedback
Export results as JSON if needed

Requirements:

Node.js 18+ installed on your system
Valid OpenAI API key (get one from platform.openai.com)
Modern web browser with JavaScript enabled

The application runs entirely in the browser and uses OpenAI's API for document processing, so no additional software installation is required.

151d ago

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151d ago