Shivani Ki Chudai.avi Instant

"Keep names intact. Only the result. change each word with 3 alternatives as word3. Text:"

- Tokenize the input text into words. - For each token, determine if it's a name (possibly using NER, like in spaCy). - For non-name words, generate three alternatives using synonyms. - Format the output with the alternatives in curly braces. shivani ki chudai.avi

But the user wants only the result, not the explanation. So perhaps they want the assistant to output the transformed text directly when given input. However, in this case, the user hasn't provided the actual text to work on. The example given is the query itself, so maybe the user wants to see how the assistant would process a sample text. "Keep names intact

For example, if the input text were "Alice is running in the park," the output would be Alice|is|sprinting|in|the|park. Text:" - Tokenize the input text into words

But since the user said "Keep names intact," proper nouns like "Alice" would remain unchanged. However, in this example, "Alice" might be a name and thus kept, but if it were a common noun, it would be replaced. The assistant needs to correctly identify which words are names to preserve them.

1. Tokenize the input text. 2. Identify proper nouns (names) and leave them as is. 3. For each non-name word, find three synonyms or alternative words. 4. Format each word as word1. 5. Return the transformed text without any additional explanation.