Add JSON Training to Chatbot

[jana1998]

Conversation JSON File Structure:

• Define the structure of the JSON file for conversation data, including the necessary fields such as "user", "bot", and "timestamp" for each conversation turn.
• Each conversation turn should include the user's message, the bot's response, and the corresponding timestamp.
• Ensure that the JSON file can accommodate conversations with multiple turns and supports different conversation lengths.
• Backend Handling:
• Implement a backend service that receives the uploaded JSON file and processes it for LLM training.
• Parse the JSON file to extract the conversation data and store it in a suitable format for training the LLM.
• Implement necessary data preprocessing steps, such as tokenization and formatting, to prepare the conversation data for training.

Error Handling:

• Handle and display appropriate error messages if the uploaded file is not in the correct JSON format or lacks essential conversation data.
• Implement error handling for any unexpected issues that may arise during the file upload or processing.
• Security Considerations:
• Apply appropriate security measures to ensure the confidentiality and integrity of the uploaded JSON files.
• Implement measures to prevent malicious file uploads or potential attacks on the system.