![]() | - Turn down volume while waiting for the amp to turn back on Shuts off | - Check for high ambient temperature or improper speaker impedance | - Check speaker impedance and power tap settings | - Check music source for proper operationīlows fuses | - Check power and speaker wire connections Slightly higher | slightly | slightly higher | slightly It also offers troubleshooting tips for common issues such as no sound, blown fuses, and unexpected shut off.Īmp sensitivity | deck output | sensitivity control | amp output Summary: This document provides instructions for adjusting the sensitivity of the amplifier and deck to minimize distortion and achieve maximum power output. Title: Operation/Adjustment and General Troubleshooting of Linear Power Amplifier | 2-ohm lugs | 2-ohm Stereo Load or 4-ohm Mono Load | | 4-ohm lugs | 2-ohm Stereo Load or 4-ohm Mono Load | | Jumper Configuration | Load Capability | Table 3: Two-Ohm Capability Configuration Summary: This section provides instructions for connecting and configuring the amplifier, including connecting the power antenna lead, using RCA jacks, engaging optional functions, and configuring for bridged mono operation or two-ohm capability. Print(f"\n\n.AI processing page ")Įxample pages 3 & 4: Title: Amplifier Installation Instructions # Replace with your OpenAI API key and model Then the code (extracted and AI processed pages are also dumped for diagnosis, before a final collection of all): import PyPDF2 We don’t get body text ignored on table-less pages, and low-quality markdown tables are more likely. The prompt works, but not as commanded (typical dumb 3.5 now). Streaming console output so you can see what it’s doing for half an hour. I made a multi-page AI PDF extractor/table maker for you with python. Response_text <- response_content$choices]$text Response_content <- content(response, "parsed") # Parse the response to get the text output Max_tokens = 500 # You can adjust this based on your needs Prompt = paste("Please format the following data as a table:", pdf_text), ![]() Pdf_text <- paste(pdf_text, collapse = " ") # Collapse multiple pages into a single stringĪdd_headers("Authorization" = "Bearer APIKEY", "Content-Type" = "application/json"), This is currently my code: library(pdftools) I know this is possible because if I copy paste the text from a pdf into chatgpt interface and prompt it to “convert to table” it does it perfectly. I am trying to write R code to read in a pdf, and then use chatgpt to make sense of the often messy text and then output it as a table or data fram.e
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