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Update chat_func.py
Browse files- chat_func.py +17 -10
chat_func.py
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@@ -7,7 +7,6 @@ import json
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import os
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import requests
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import urllib3
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import numpy as np
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from tqdm import tqdm
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import colorama
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@@ -196,8 +195,16 @@ def stream_predict(
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chatbot[-1] = (chatbot[-1][0], partial_words+display_append)
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all_token_counts[-1] += 1
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yield get_return_value()
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def predict_all(
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openai_api_key,
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system_prompt,
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@@ -460,12 +467,12 @@ def reduce_token_size(
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user_id = os.getuid()
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# 将获取到的信息写入txt文件
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all_token_counts = 10
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def write_to_file(user_id, all_token_counts):
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log_file = "user_info.txt"
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log_str = f"{user_id}\t{all_token_counts}\n"
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with open(log_file, 'a') as f:
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f.write(log_str)
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write_to_file(user_id,all_token_counts)
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import os
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import requests
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import urllib3
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from tqdm import tqdm
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import colorama
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chatbot[-1] = (chatbot[-1][0], partial_words+display_append)
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all_token_counts[-1] += 1
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yield get_return_value()
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return all_token_counts
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def main():
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# 调用stream_predict函数获取结果...
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with open("token_counts.txt", "a") as f:
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for token_count in all_token_counts:
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f.write(str(token_count) + "\n")
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if __name__ == '__main__':
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main()
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def predict_all(
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openai_api_key,
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system_prompt,
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user_id = os.getuid()
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# 将获取到的信息写入txt文件
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#all_token_counts = 10
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#def write_to_file(user_id, all_token_counts):
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# log_file = "user_info.txt"
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# log_str = f"{user_id}\t{all_token_counts}\n"
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# with open(log_file, 'a') as f:
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# f.write(log_str)
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#write_to_file(user_id,all_token_counts)
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