ayushi361
commented
6 months ago Hi @tikendraw The flow of every chatbot is same the difference is what we retrieve from the content as per user query. Here what I have built is the base code for general conversation between user and bot. and the whole goal is to make this general bot into what the project is demanding. I understand your concern and if you have any ideas or area of improvement for this code please let me know.
tikendraw
Hello, this is Chat with PDF Bot, a user-friendly chat interface designed to effortlessly retrieve information from PDFs and documents. This bot simplifies the search process, allowing users to ask questions and receive precise answers directly within the chat interface. It also maintains a history of conversations for easy reference. Additionally, we're integrating audio-to-text functionality to further enhance accessibility and convenience for users
About my current application:-
RAG Framework: Offers real-time Anomaly Detection and Prevention capabilities.
Flask Implementation: Utilizes Flask for web server functionality, facilitating easy deployment and integration into frontend applications.
Conversational AI: Maintains a conversation chain, enabling seamless interaction with the chatbot for users.
Modular Structure: Organized into modular functions, enhancing code readability and facilitating maintenance.
Error Handling: Includes robust error handling at each step, ensuring smooth operation and reliability.
External Libraries Integration: Integrates with external libraries like PyPDF2 and OpenAI's GPT-3.5 model for enhanced functionality.
Global State Management: Manages conversation history globally, allowing for efficient tracking of user interactions and responses.
Security and Scalability: Implements secure practices like environment variable configuration and is scalable to handle increasing user traffic.