🐛 Bug: Fix the bug that causes an error in DuckDuckGo search.

💻 Code: Upgrade TikToken version to 5.3.0

requirements.txt

@@ -14,7 +14,7 @@ python-telegram-bot[webhooks,rate-limiter]==21.0.1
 fake_useragent
 openai==0.28.1
 google-api-python-client
-duckduckgo-search==4.1.0
+duckduckgo-search==5.3.0
 langchain==0.0.271
 oauth2client==3.0.0
 pdfminer.six

test/test_ddg.py

@@ -98,7 +98,7 @@ def Web_crawler(url: str) -> str:
     # urls = getddgsearchurl1("test")
     # urls = getddgsearchurl("你知道今天有什么热点新闻吗")
     # urls = getddg("尊嘟假嘟 含义")
-    urls = getddgsearchurl("它会返回一个包含搜索结果的列表")
+    urls = getddgsearchurl("你知道今天有什么热点新闻吗")
     print(urls)
     # for url in urls:
     #     print(Web_crawler(url))

test/test_ollama.py

@@ -44,7 +44,9 @@ def query_ollama(prompt, model):
     # 查询答案
     prompt = r'''
 
-详细讲解一下SAFE块是怎么进行进行时间特征聚合的？
+The Space-Time Video Super-Resolution (STVSR) task aims to enhance the visual quality of videos, by simultaneously performing video frame interpolation (VFI) and video super-resolution (VSR). However, facing the challenge of the additional temporal dimension and scale inconsistency, most existing STVSR methods are complex and inflexible in dynamically modeling different motion amplitudes. In this work, we find that choosing an appropriate processing scale achieves remarkable benefits in flow-based feature propagation. We propose a novel Scale-Adaptive Feature Aggregation (SAFA) network that adaptively selects sub-networks with different processing scales for individual samples. Experiments on four public STVSR benchmarks demonstrate that SAFA achieves state-of-the-art performance. Our SAFA network outperforms recent state-of-the-art methods such as TMNet [83] and VideoINR [10] by an average improvement of over 0.5dB on PSNR, while requiring less than half the number of parameters and only 1/3 computational costs.
+
+上面的文字翻译成中文
 
 '''
     answer = ""

test/test_search.py

@@ -0,0 +1,8 @@
+import os
+import sys
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from utils.plugins import get_search_results
+
+for i in get_search_results("今天的微博热搜有哪些？"):
+    print(i)