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| import openai | |
| import os | |
| import csv | |
| openai.api_key = os.environ["OPENAI_API_KEY"] | |
| prompt = "I am a highly intelligent question answering bot. If you ask me a question that is rooted in truth, I will give you the answer. If you ask me a question that is nonsense, trickery, or has no clear answer, I will respond with \"Unknown\".\n\n" | |
| with open('cfqa.csv') as csv_file: | |
| reader = csv.DictReader(csv_file) | |
| for row in reader: | |
| prompt += f"Q: {row['question']}\nA: {row['answer']}\n\n" | |
| while True: | |
| question = input('Q: ') | |
| if question.strip() in ['exit', 'quit']: | |
| break | |
| promptWithQuestion = f"{prompt}\nQ: {question}\nA: " | |
| response = openai.Completion.create( | |
| model="text-davinci-003", | |
| prompt=promptWithQuestion, | |
| max_tokens=100, | |
| temperature=0.5, | |
| top_p=1, | |
| frequency_penalty=0, | |
| presence_penalty=0, | |
| stop=["\n"], | |
| ) | |
| answer = response.choices[0].text.strip() | |
| if answer.lower().strip(". ") in ["", "unknown"]: | |
| answer = "Desculpe mas não entendi. Por favor, refaça a pergunta de outra forma." | |
| else: | |
| prompt += f"Q: {question}\nA: {answer}\n\n" | |
| print(answer) |
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