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2 changed files with 10 additions and 8 deletions
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@ -719,20 +719,21 @@ def search():
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net_search_str = 'false'
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elif len(original_search_query)>10:
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prompt = "任务:写诗 写故事 写代码 写论文摘要 模仿推特用户 生成搜索广告 回答问题 聊天话题 搜索网页 搜索视频 搜索地图 搜索新闻 查看食谱 搜索商品 写歌词 写论文 模仿名人 翻译语言 摘要文章 讲笑话 做数学题 搜索图片 播放音乐 查看天气\n1.判断是以上任务的哪一个2.判断是否需要联网回答3.给出搜索关键词\n"
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prompt = prompt + "提问:" + search_query.query + '答案用json数组例如["写诗","否","详细关键词"]来表述\n答案:'
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prompt = prompt + "提问:" + search_query.query + '答案用json数组例如["写诗","否","详细关键词"]来表述'
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acts = ['写诗', '写故事', '写代码', '写论文摘要', '模仿推特用户', '生成搜索广告', '回答问题', '聊天话题', '搜索网页', '搜索视频', '搜索地图', '搜索新闻', '查看食谱', '搜索商品', '写歌词', '写论文', '模仿名人', '翻译语言', '摘要文章', '讲笑话', '做数学题', '搜索图片', '播放音乐', '查看天气']
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if "今年" in prompt or "今天" in prompt:
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now = datetime.datetime.now()
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prompt = prompt.replace("今年",now.strftime('%Y年'))
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prompt = prompt.replace("今天",now.strftime('%Y年%m月%d日'))
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gpt = ""
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gpt_url = "https://api.openai.com/v1/engines/text-davinci-003/completions"
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gpt_url = "https://api.openai.com/v1/chat/completions"
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gpt_headers = {
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"Authorization": "Bearer "+os.environ['GPTKEY'],
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"Content-Type": "application/json",
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}
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gpt_data = {
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"prompt": prompt,
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"model": "gpt-3.5-turbo",
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"message": {"user":prompt},
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"max_tokens": 256,
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"temperature": 0.9,
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"top_p": 1,
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@ -745,7 +746,7 @@ def search():
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gpt_response = requests.post(gpt_url, headers=gpt_headers, data=json.dumps(gpt_data))
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gpt_json = gpt_response.json()
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if 'choices' in gpt_json:
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gpt = gpt_json['choices'][0]['text']
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gpt = gpt_json['choices'][0]['message']['content']
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if search_type == '任务':
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for word in gpt.split('\n'):
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if word != "":
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@ -719,20 +719,21 @@ def search():
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net_search_str = 'false'
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elif len(original_search_query)>10:
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prompt = "任务:写诗 写故事 写代码 写论文摘要 模仿推特用户 生成搜索广告 回答问题 聊天话题 搜索网页 搜索视频 搜索地图 搜索新闻 查看食谱 搜索商品 写歌词 写论文 模仿名人 翻译语言 摘要文章 讲笑话 做数学题 搜索图片 播放音乐 查看天气\n1.判断是以上任务的哪一个2.判断是否需要联网回答3.给出搜索关键词\n"
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prompt = prompt + "提问:" + search_query.query + '答案用json数组例如["写诗","否","详细关键词"]来表述\n答案:'
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prompt = prompt + "提问:" + search_query.query + '答案用json数组例如["写诗","否","详细关键词"]来表述'
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acts = ['写诗', '写故事', '写代码', '写论文摘要', '模仿推特用户', '生成搜索广告', '回答问题', '聊天话题', '搜索网页', '搜索视频', '搜索地图', '搜索新闻', '查看食谱', '搜索商品', '写歌词', '写论文', '模仿名人', '翻译语言', '摘要文章', '讲笑话', '做数学题', '搜索图片', '播放音乐', '查看天气']
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if "今年" in prompt or "今天" in prompt:
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now = datetime.datetime.now()
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prompt = prompt.replace("今年",now.strftime('%Y年'))
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prompt = prompt.replace("今天",now.strftime('%Y年%m月%d日'))
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gpt = ""
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gpt_url = "https://api.openai.com/v1/engines/text-davinci-003/completions"
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gpt_url = "https://api.openai.com/v1/chat/completions"
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gpt_headers = {
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"Authorization": "Bearer "+os.environ['GPTKEY'],
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"Content-Type": "application/json",
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}
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gpt_data = {
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"prompt": prompt,
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"model": "gpt-3.5-turbo",
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"message": {"user":prompt},
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"max_tokens": 256,
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"temperature": 0.9,
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"top_p": 1,
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@ -745,7 +746,7 @@ def search():
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gpt_response = requests.post(gpt_url, headers=gpt_headers, data=json.dumps(gpt_data))
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gpt_json = gpt_response.json()
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if 'choices' in gpt_json:
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gpt = gpt_json['choices'][0]['text']
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gpt = gpt_json['choices'][0]['message']['content']
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if search_type == '任务':
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for word in gpt.split('\n'):
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if word != "":
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