Given the task definition, example input & output, solve the new input case.
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: Tomber amoureux, c'est comme manger un chocolat.
Output: Tomber amoureux, c'est comme allumer un bar de vacances.
This is a good change in the sentence, because it is semantically similar to the input as both are talking about falling in love and the created sentence follows the commonsense knowledge.

New input case for you: Vous êtes d'accord pour financer un cabinet médical dans une ville.
Output:
Vous trouverez probablement un cabinet de médecin dans une ville.
Given the task definition, example input & output, solve the new input case.
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: Tomber amoureux, c'est comme manger un chocolat.
Output: Tomber amoureux, c'est comme allumer un bar de vacances.
This is a good change in the sentence, because it is semantically similar to the input as both are talking about falling in love and the created sentence follows the commonsense knowledge.

New input case for you: Vous êtes d'accord pour financer un cabinet médical dans une ville.
Output:
user
Vous trouverez probablement un cabinet de médecin dans une ville.
assistant
Given the task definition, example input & output, solve the new input case.
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: Tomber amoureux, c'est comme manger un chocolat.
Output: Tomber amoureux, c'est comme allumer un bar de vacances.
This is a good change in the sentence, because it is semantically similar to the input as both are talking about falling in love and the created sentence follows the commonsense knowledge.

New input case for you: Vous êtes d'accord pour financer un cabinet médical dans une ville.
Output:
Vous trouverez probablement un cabinet de médecin dans une ville.