diff --git a/endpoints/people.post.py b/endpoints/people.post.py
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+Sure, here's an example of a FastAPI endpoint that saves people of France to the database using SQLAlchemy and Pydantic:
+
+```python
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from sqlalchemy import Column, Integer, String
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+
+from app.api.models.people_model import *
+from app.api.schemas.people_schema import *
+app = FastAPI()
+
+# SQLAlchemy setup
+Base = declarative_base()
+engine = create_engine('sqlite:///people.db', connect_args={'check_same_thread': False})
+Session = sessionmaker(bind=engine)
+
+# SQLAlchemy model
+
+    class Config:
+        orm_mode = True
+
+# FastAPI endpoint
+@app.post('/people', response_model=PersonSchema)
+def create_person(person: PersonSchema):
+    session = Session()
+    try:
+        new_person = Person(name=person.name, city=person.city)
+        session.add(new_person)
+        session.commit()
+        return new_person
+    except Exception as e:
+        session.rollback()
+        raise HTTPException(status_code=500, detail=str(e))
+    finally:
+        session.close()
+```
+
+Here's a breakdown of the code:
+
+1. We import the necessary modules and create a FastAPI instance.
+2. We set up SQLAlchemy with a SQLite database and define a `Person` model with `name` and `city` columns.
+3. We create a Pydantic schema `PersonSchema` to validate the request data.
+4. We define a FastAPI endpoint `/people` with the `POST` method and use the `PersonSchema` as the request body and response model.
+5. Inside the endpoint function `create_person`, we create a new SQLAlchemy session and try to add a new `Person` instance to the database using the provided `name` and `city` from the request data.
+6. If the operation is successful, we commit the changes and return the newly created `Person` instance.
+7. If an exception occurs, we roll back the transaction and raise an `HTTPException` with a 500 status code and the error message.
+8. Finally, we close the SQLAlchemy session.
+
+To use this endpoint, you can send a POST request to `http://localhost:8000/people` with a JSON payload containing the `name` and `city` fields, like this:
+
+```json
+{
+    "name": "John Doe",
+    "city": "Paris"
+}
+```
+
+The endpoint will create a new person in the database and return the created person object as a JSON response.
+
+Note: Make sure you have the required dependencies installed (`fastapi`, `pydantic`, and `sqlalchemy`).
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