OpenAI - Audio Processing & transcription Web Application -- 2

Build web app designed to process audio files, transcribe them, summarize the transcripts using openai, This role requires both backend and frontend development. *********write audio on top of your bid********* Backend Development 1. Endpoint for File Upload: - Create a RESTful API endpoint to receive audio file uploads. - Ensure the endpoint supports the specified audio formats. - Validate the uploaded files for type and size constraints. 2. File Name Processing: - Extract the phone number from the uploaded file's name using a regex or string processing, based on the provided naming convention. 3. File Splitting: - If the audio file exceeds 25 MB, split it into 25 MB segments for processing. - Maintain the order of the segments for accurate transcription concatenation later. 4. Transcription with OpenAI API: - Send each audio segment to OpenAI's Speech-to-Text API for transcription. - Ensure that API requests are handled asynchronously and efficiently. 5. Transcript Concatenation: - Concatenate the transcribed text from each segment in the correct order to create a complete transcript. 6. Transcript Summarization: - Generate a detailed summary of the complete transcript using OpenAI's summarization feature. - Implement functionality to allow customization of the OpenAI prompt from the frontend. 7. Google Sheets Integration: - Use the Google Sheets API to send the data to a specified spreadsheet. - Record the timestamp of the file submission and the extracted phone number. - Store the combined transcript and its summary in the spreadsheet. Frontend Development 1. File Upload Interface: - Design a file upload component that allows users to select and submit audio files. 2. Data Display: - Retrieve and display a list of processed transcriptions and summaries from the backend. - Implement pagination or infinite scroll if the list is expected to be long. 3. Editing OpenAI Prompt: - Provide a text input field for users to edit the OpenAI prompt used for summarization. - This input should be sent to the backend and used when generating the summary. Security and Performance - Ensure secure file transfers using HTTPS. - Authenticate users before allowing file uploads or edits. - Sanitize file names and user input to prevent injection attacks. - Implement rate limiting and handle API quota limits for OpenAI and Google Sheets. Testing - Write unit and integration tests for each API endpoint. - Test the file upload and splitting functionality with various file sizes. - Validate the transcription and summarization accuracy. Documentation - Document all API endpoints with their expected inputs and outputs. - Provide clear instructions for the frontend team on how to use the backend services. This backend system will require working with file I/O, external API integration (OpenAI and Google Sheets), and possibly a database to track the status of processing jobs. The frontend will need to interact seamlessly with the backend and provide a user-friendly interface for non-technical users.