Handle both frontend and backend and also functionnality of this website APPLICATION OVERVIEW SafeChat is a web application designed to provide a...
Generated Prompt
## APPLICATION OVERVIEW SafeChat is a web application designed to provide a secure AI-assisted chat experience for users needing to interact with uploaded documents. This application incorporates a prompt-injection firewall to protect against hidden instructions in documents, ensuring safe interactions while offering a minimalist and intuitive user interface. ## CORE FEATURES 1. **Document Upload**: Users can upload PDF documents for scanning and analysis. The application checks for hidden instructions and assesses risk levels. 2. **Risk Assessment**: The application evaluates the risk associated with the uploaded document, providing a risk score and level (Low, Medium, High, Critical) along with findings related to potential hidden instructions. 3. **AI Chat Functionality**: Users can ask questions about the uploaded document, receiving AI-driven responses based on a sanitized version of the document's content, enhancing user engagement. 4. **Override Functionality**: In cases where documents are flagged as risky, users have the option to manually override the block after reviewing the findings. 5. **Visual Feedback**: Clear visual indicators for risk levels, including color-coded alerts and success messages, improve user comprehension and response actions. 6. **User Session Management**: The chat maintains session state, allowing for continuous interaction without losing context between user messages and AI responses. ## DESIGN SPECIFICATIONS - **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography. - **Color Mode**: Light theme with dark text on light backgrounds. - **Primary Color**: #1978E5 (accent for buttons, links, highlights). - **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements. - **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs. - **Layout**: A two-column layout with a document upload section on the right and a chat interface on the left, ensuring an organized and user-friendly experience. ## TECHNICAL REQUIREMENTS - **Framework**: React with TypeScript - **Styling**: Tailwind CSS - **UI Components**: shadcn/ui - **State Management**: React's Context API or useState for managing chat messages and session state. ## IMPLEMENTATION STEPS 1. **Set Up Project**: Initialize a new React project with TypeScript and install required dependencies (React, TypeScript, Tailwind CSS, shadcn/ui). 2. **Create File Upload Component**: Implement a file uploader that accepts PDF files, integrates with the scanning functionality, and displays risk assessment results. 3. **Develop Chat Interface**: Create a chat component with input for user messages and display area for AI responses and chat history. 4. **Integrate Risk Assessment Logic**: Implement the scanning and risk assessment logic based on the provided code, ensuring proper handling of document uploads and user interactions. 5. **Implement Session State Management**: Use React's state management to maintain chat messages and document scan results throughout the session. 6. **Design UI with Tailwind CSS**: Style the application using Tailwind CSS to ensure a minimalist and responsive layout, applying the specified typography and color scheme. 7. **Testing and Debugging**: Conduct thorough testing to ensure functionality works as intended, focusing on risk assessment accuracy and chat interactions. ## USER EXPERIENCE Users will interact with the application through a simple and intuitive interface. They can easily upload a document, view risk assessments, and engage in a chat with the AI assistant. The clear visual feedback will guide users through the process, ensuring they understand any risks associated with their documents while providing an easy way to override blocks if necessary. The minimalist design will enhance usability, making navigation straightforward and efficient.
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