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@ -135,7 +135,7 @@ def crawl(url):
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print(url) # for debugging and to see the progress
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print(url) # for debugging and to see the progress
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# Save text from the url to a <url>.txt file
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# Save text from the url to a <url>.txt file
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with open('text/'+local_domain+'/'+url[8:].replace("/", "_") + ".txt", "w") as f:
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with open('text/'+local_domain+'/'+url[8:].replace("/", "_") + ".txt", "w", encoding="UTF-8") as f:
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# Get the text from the URL using BeautifulSoup
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# Get the text from the URL using BeautifulSoup
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soup = BeautifulSoup(requests.get(url).text, "html.parser")
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soup = BeautifulSoup(requests.get(url).text, "html.parser")
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@ -181,7 +181,7 @@ texts=[]
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for file in os.listdir("text/" + domain + "/"):
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for file in os.listdir("text/" + domain + "/"):
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# Open the file and read the text
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# Open the file and read the text
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with open("text/" + domain + "/" + file, "r") as f:
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with open("text/" + domain + "/" + file, "r", encoding="UTF-8") as f:
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text = f.read()
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text = f.read()
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# Omit the first 11 lines and the last 4 lines, then replace -, _, and #update with spaces.
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# Omit the first 11 lines and the last 4 lines, then replace -, _, and #update with spaces.
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@ -379,4 +379,4 @@ def answer_question(
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print(answer_question(df, question="What day is it?", debug=False))
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print(answer_question(df, question="What day is it?", debug=False))
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print(answer_question(df, question="What is our newest embeddings model?"))
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print(answer_question(df, question="What is our newest embeddings model?"))
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