Document Summarization using Python or Weka

Task is to summarize the document of let say 850 sentences. Summarize this document to generate a report of 10 sentences. Note-Implement any centroid based summarization method to conduct document summarization using given data set. This approach has to follow - 1- Cluster these 850 sentences into 10 clusters. 2-Calculate the sentence which has the highest similarity scores with all of the rest sentences in the same cluster, and include this centroid sentence(one having highest score) into the summary. 3- Repeat step 2 for all the 10 clusters and generate the short summary of 10 sentences Implement the centroid based document summarization method. Data set: [login to view URL] contains 850 sentences and each line is a sentence. Please generate a short summary of 10 sentences. Download the text file in the "Files" section. Method: please implement any centroid based summarization method to conduct document summarization using given data set. Result should include detailed algorithm, code and generated summary. This has to be done on urgent basis - 1 day window only.