Merge pull request #19 from nbcstevenchen/main

Add the full path of prompt files

cncf-youtube-channel-summarizer/transcript_summarizer.py

@@ -47,12 +47,12 @@ def create_models(self):
     def LLM_summarizer(self, llm_summary, llm_keywords, transcript, chunk_size, chunk_overlap, key):
         text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)
         texts = text_splitter.create_documents([transcript])
-        map_summary_template = open('prompt/chunks_summary_prompt.txt').readlines()
+        map_summary_template = open('cncf-youtube-channel-summarizer/prompt/chunks_summary_prompt.txt').readlines()
         map_summary_template = ''.join(map_summary_template)
-        combine_summary_template = open('prompt/combine_summary_prompt.txt').readlines()
+        combine_summary_template = open('cncf-youtube-channel-summarizer/prompt/combine_summary_prompt.txt').readlines()
         combine_summary_template = ''.join(combine_summary_template)
 
-        keyword_template = open('prompt/keyword_template.txt').readlines()
+        keyword_template = open('cncf-youtube-channel-summarizer/prompt/keyword_template.txt').readlines()
         keyword_template = ''.join(keyword_template)
 
         map_prompt = PromptTemplate(template=map_summary_template, input_variables=["text"])
@@ -85,8 +85,7 @@ def run(self):
                 logger.error(f"{e}")
                 missed_video_id = open('cncf-youtube-channel-summarizer/data/missed_video_id.txt', 'a')
                 missed_video_id.write(key+',')
-                #continue
-                break
+                continue
 
             data = {'video_id': [key], 'video_title': [self.videos_dict[key]['video_title']],
                     'conference_name': [self.videos_dict[key]['play_list']['title']], 'summary': [summary],