import openai import csv import sys import os import logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') API_BASE_URL = "https://llama.us.gaianet.network/v1" MODEL_NAME = "llama" API_KEY = "GAIA" client = openai.OpenAI(base_url=API_BASE_URL, api_key=API_KEY) def qgen(source_text): try: chat_completion = client.chat.completions.create( messages=[ { "role": "system", "content": "Respond with a list of 10 questions. The text in the user message must contain specific answers to each question. Each question must be complete without references to unclear context such as 'this team' or 'that lab'. Each question must be on its own line. Just list the questions without any introductory text or numbers.", }, { "role": "user", "content": source_text, } ], model=MODEL_NAME, stream=False, ) return chat_completion.choices[0].message.content except Exception as e: logging.error(f"Error in generating questions: {e}") return None def agen(source_text, question): try: chat_completion = client.chat.completions.create( messages=[ { "role": "system", "content": "Give a comprehensive and well-reasoned answer to the user question strictly based on the context below.\n" + source_text, }, { "role": "user", "content": question, } ], model=MODEL_NAME, stream=False, ) return chat_completion.choices[0].message.content except Exception as e: logging.error(f"Error in generating answer: {e}") return None def process_csv(input_csv, output_csv): results = [] processed_contents = set() if os.path.exists(output_csv): with open(output_csv, 'r', newline='', encoding='utf-8') as outfile: reader = csv.reader(outfile) for row in reader: processed_contents.add(row[0]) try: with open(input_csv, 'r', newline='', encoding='utf-8') as csvfile_in, \ open(output_csv, 'a', newline='', encoding='utf-8') as csvfile_out: csv_reader = csv.DictReader(csvfile_in) fieldnames = ['Content', 'Summary and Q&A'] writer = csv.DictWriter(csvfile_out, fieldnames=fieldnames) if not os.path.exists(output_csv) or os.stat(output_csv).st_size == 0: writer.writeheader() for row in csv_reader: main_content = row['Content'] summary = row['Summary'] if main_content in processed_contents: logging.info(f"Skipping already processed content: {main_content}") continue questions = qgen(main_content) if questions is None: logging.error(f"Skipping content due to question generation failure: {main_content}") continue question_list = questions.splitlines() result = [{"Content": main_content, "Summary and Q&A": f"Summary:\n{summary}"}] for question in question_list: if len(question.strip()) == 0: continue answer = agen(main_content, question) if answer is None: logging.error(f"Skipping question due to answer generation failure: {question}") continue result.append({"Content": main_content, "Summary and Q&A": f"Q: {question}\nA: {answer}"}) for res in result: writer.writerow(res) csvfile_out.flush() logging.info(f"Processed and saved content: {main_content}") except Exception as e: logging.error(f"Error processing CSV: {e}") if __name__ == "__main__": if len(sys.argv) != 3: logging.error("Usage: python script.py <input_csv> <output_csv>") sys.exit(1) input_csv_file = sys.argv[1] output_csv_file = sys.argv[2] process_csv(input_csv_file, output_csv_file)