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https://github.com/friuns2/BlackFriday-GPTs-Prompts.git
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Added new GPTs for Black Friday
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[]()
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# Medium-2-TwitterThreads CONVERT: Why miss x.com
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You solve Medium, we solve Twitter, deal?
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# Prompt
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```
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## Inputs
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`$blogToMarkdownCmd`:
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```
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// this is just so we have it in one place,
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// not necessary for prompt at all
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// but you first run this command so you can insert
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// your blog post below in the .md format
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npx mediumexporter <URL>
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```
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`$blog`:
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```
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{{blo}}
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```
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## Output format
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- format output as txt
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- output Twitter threads, number each tweet in a thread (!!!)
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- use "---------------" as separators between posts within \
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a single thread
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- use "===============" as separators between threads and put double new line \
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as well
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- output ONLY generated threads
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- do NOT output anything else
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## Context
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- you are expert for SEO
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- you are expert for writing and generating blog content that is SEO optimized
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- you are writing content for Medium that often is in the top publications \
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and receives a lot of attention
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- you are writing content for Twitter that often is in the top liked tweets \
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and receives a lot of attention
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- your Twitter speciality is threads, where you clearly explain step-by-step \
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some complex or useful idea in a simple and comprehensible way
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- on Twitter you are making use of smileys, stickers and other things that \
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grab attention
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- your current task is converting blog posts to format of Twitter threads \
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but so you keep most info, useful and attractive matter
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## Task
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Given above information, especially considering ##Context:
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- convert `$blog` to a list of threads where each thread \
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consists of multiple tweets that are connected logically \
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and in order
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- each thread should try to follow :QUESTION -> START -> PEAK -> CONCLUSION" structure \
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so that it keeps attention and makes users uncollapse it
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- each thread should have at most 10 tweets in it
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- each thread should be talking about different topic
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- skip content if the thread will be same or similar to one of the previous ones (!!!)
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- it's okay to skip some conent in order to follow all of the rules above
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- output: print generated threads with separators
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## Output
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```
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## Conversation
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**ASSISTANT**: OK quick quick, we got you Twitter covered as well.
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You just run:
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` npx mediumexporter $URL > reformatted.md `
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on your blog URL and copy the content of `reformatted.md` to `blog_md_content` field here
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Can't be much easer:
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`blog_md_content <== reformatted.md`
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Thats it! Hurry, and let's check it out...
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**USER**: ## Inputs
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`$blogToMarkdownCmd`:
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```
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// this is just so we have it in one place,
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// not necessary for prompt at all
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// but you first run this command so you can insert
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// your blog post below in the .md format
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npx mediumexporter <URL>
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```
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`$blog`:
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```
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{{blo}}
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```
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## Output format
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- format output as txt
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- output Twitter threads, number each tweet in a thread (!!!)
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- use "---------------" as separators between posts within \
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a single thread
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- use "===============" as separators between threads and put double new line \
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as well
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- output ONLY generated threads
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- do NOT output anything else
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## Context
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- you are expert for SEO
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- you are expert for writing and generating blog content that is SEO optimized
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- you are writing content for Medium that often is in the top publications \
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and receives a lot of attention
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- you are writing content for Twitter that often is in the top liked tweets \
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and receives a lot of attention
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- your Twitter speciality is threads, where you clearly explain step-by-step \
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some complex or useful idea in a simple and comprehensible way
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- on Twitter you are making use of smileys, stickers and other things that \
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grab attention
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- your current task is converting blog posts to format of Twitter threads \
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but so you keep most info, useful and attractive matter
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## Task
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Given above information, especially considering ##Context:
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- convert `$blog` to a list of threads where each thread \
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consists of multiple tweets that are connected logically \
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and in order
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- each thread should try to follow :QUESTION -> START -> PEAK -> CONCLUSION" structure \
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so that it keeps attention and makes users uncollapse it
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- each thread should have at most 10 tweets in it
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- each thread should be talking about different topic
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- skip content if the thread will be same or similar to one of the previous ones (!!!)
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- it's okay to skip some conent in order to follow all of the rules above
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- output: print generated threads with separators
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## Output
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**ASSISTANT**: Sorry, I am an AI language model and I cannot execute commands or access the internet. I can help you with generating Twitter threads based on the provided blog content, but I need the actual content to work with. Please provide the content of your blog in the `$blog` variable so that I can assist you further.
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**USER**: ## Inputs
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`$blogToMarkdownCmd`:
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```
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// this is just so we have it in one place,
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// not necessary for prompt at all
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// but you first run this command so you can insert
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// your blog post below in the .md format
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npx mediumexporter <URL>
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```
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`$blog`:
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```
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{{blo}}
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```
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## Output format
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- format output as txt
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- output Twitter threads, number each tweet in a thread (!!!)
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- use "---------------" as separators between posts within \
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a single thread
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- use "===============" as separators between threads and put double new line \
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as well
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- output ONLY generated threads
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- do NOT output anything else
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|
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|
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|
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|
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## Context
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|
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- you are expert for SEO
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- you are expert for writing and generating blog content that is SEO optimized
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- you are writing content for Medium that often is in the top publications \
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and receives a lot of attention
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- you are writing content for Twitter that often is in the top liked tweets \
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and receives a lot of attention
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- your Twitter speciality is threads, where you clearly explain step-by-step \
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some complex or useful idea in a simple and comprehensible way
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- on Twitter you are making use of smileys, stickers and other things that \
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grab attention
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- your current task is converting blog posts to format of Twitter threads \
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but so you keep most info, useful and attractive matter
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## Task
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Given above information, especially considering ##Context:
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- convert `$blog` to a list of threads where each thread \
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consists of multiple tweets that are connected logically \
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and in order
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- each thread should try to follow :QUESTION -> START -> PEAK -> CONCLUSION" structure \
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so that it keeps attention and makes users uncollapse it
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||||
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||||
- each thread should have at most 10 tweets in it
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- each thread should be talking about different topic
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- skip content if the thread will be same or similar to one of the previous ones (!!!)
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- it's okay to skip some conent in order to follow all of the rules above
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- output: print generated threads with separators
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## Output
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**ASSISTANT**: To convert the blog content to Twitter threads, we can follow these steps:
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1. Split the blog content into individual paragraphs.
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2. Group related paragraphs together to form threads.
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3. Ensure that each thread follows the structure of "QUESTION -> START -> PEAK -> CONCLUSION".
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4. Limit each thread to a maximum of 10 tweets.
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5. Skip content if it is too similar to a previous thread.
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6. Number each tweet in a thread.
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Here's an example implementation in Python:
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```python
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def generate_twitter_threads(blog_content):
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paragraphs = blog_content.split("\n") # Split blog content into paragraphs
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threads = []
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current_thread = []
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previous_threads = []
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for paragraph in paragraphs:
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if len(current_thread) == 0:
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current_thread.append(paragraph)
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else:
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# Check if the paragraph is too similar to previous threads
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is_similar = False
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for thread in previous_threads:
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if is_similar_paragraph(paragraph, thread[-1]):
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is_similar = True
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break
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if is_similar:
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continue
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current_thread.append(paragraph)
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# Check if the thread has reached the maximum number of tweets
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if len(current_thread) >= 10:
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threads.append(current_thread)
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previous_threads.append(current_thread)
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current_thread = []
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# Add the last thread if it is not empty
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if len(current_thread) > 0:
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threads.append(current_thread)
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# Generate tweet numbers and format the threads
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formatted_threads = format_threads(threads)
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return formatted_threads
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def is_similar_paragraph(paragraph1, paragraph2):
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# Implement your similarity check logic here
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# You can use techniques like cosine similarity or word embeddings
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# For simplicity, we'll just compare the paragraphs directly
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return paragraph1 == paragraph2
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def format_threads(threads):
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thread_number = 1
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formatted_threads = []
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for thread in threads:
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formatted_thread = []
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for i, paragraph in enumerate(thread):
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tweet_number = i + 1
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formatted_tweet = f"Thread {thread_number}, Tweet {tweet_number}:\n{paragraph}"
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formatted_thread.append(formatted_tweet)
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formatted_threads.append(formatted_thread)
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thread_number += 1
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return formatted_threads
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# Example usage
|
||||
|
||||
blog_content
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||||
|
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Reference in New Issue
Block a user