From 7e943e2695cbd0e6163529995b9b5f2da11db473 Mon Sep 17 00:00:00 2001
From: DanielZF-source <zavalitaangelito@gmail.com>
Date: Mon, 26 Jan 2026 22:42:51 -0500
Subject: [PATCH 1/3] =?UTF-8?q?ACTUALIZAR=20predicci=C3=B3n=20de=20salario?=
 =?UTF-8?q?=20en=20la=20aplicaci=C3=B3n?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 application.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/application.py b/application.py
index ca52f604..9df86622 100644
--- a/application.py
+++ b/application.py
@@ -2,6 +2,14 @@
 from flask import Flask, request, jsonify, render_template
 import pickle
 
+#########################################################
+import sys
+import sklearn.linear_model._base as s_base
+sys.modules['sklearn.linear_model.base'] = s_base
+
+import pickle
+#########################################################
+
 application = Flask(__name__) #Initialize the flask App
 model = pickle.load(open('model.pkl', 'rb'))
 

From b96455ee46e614d0412e4957890f424ddf1bb301 Mon Sep 17 00:00:00 2001
From: DanielZF-source <zavalitaangelito@gmail.com>
Date: Sat, 31 Jan 2026 00:19:18 -0500
Subject: [PATCH 2/3] =?UTF-8?q?A=C3=B1adida=20predicci=C3=B3n=20de=20salar?=
 =?UTF-8?q?io=20y=20versi=C3=B3n=20API?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 CHANGELOG.md                                     |   0
 __pycache__/app.cpython-313.pyc                  | Bin 0 -> 1786 bytes
 __pycache__/application.cpython-313.pyc          | Bin 0 -> 1794 bytes
 .../test_app.cpython-313-pytest-8.3.4.pyc        | Bin 0 -> 3232 bytes
 application.py                                   |   2 +-
 5 files changed, 1 insertion(+), 1 deletion(-)
 create mode 100644 CHANGELOG.md
 create mode 100644 __pycache__/app.cpython-313.pyc
 create mode 100644 __pycache__/application.cpython-313.pyc
 create mode 100644 __pycache__/test_app.cpython-313-pytest-8.3.4.pyc

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diff --git a/application.py b/application.py
index 9df86622..37c69033 100644
--- a/application.py
+++ b/application.py
@@ -8,7 +8,7 @@
 sys.modules['sklearn.linear_model.base'] = s_base
 
 import pickle
-#########################################################
+##########################################################
 
 application = Flask(__name__) #Initialize the flask App
 model = pickle.load(open('model.pkl', 'rb'))

From d61cb2fac7b831b9d628d43279c4dcf66e261c7f Mon Sep 17 00:00:00 2001
From: DanielZF-source <zavalitaangelito@gmail.com>
Date: Sat, 31 Jan 2026 00:28:08 -0500
Subject: [PATCH 3/3] =?UTF-8?q?VERIFICACI=C3=93N=20DE=20TEST?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 CHANGELOG.md | 10 ++++++++++
 README1.md   | 12 ++++++++++++
 test.py      |  3 +++
 3 files changed, 25 insertions(+)
 create mode 100644 README1.md
 create mode 100644 test.py

diff --git a/CHANGELOG.md b/CHANGELOG.md
index e69de29b..d09887da 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -0,0 +1,10 @@
+# Changelog
+
+## [1.0.0] - 2023-10-27
+### Added
+- Nueva rama `feature/salary-prediction`.
+- Endpoint de API `/api/predict` que devuelve JSON.
+- Archivo de pruebas `test_app.py`.
+
+### Changed
+- Se actualizó la interfaz de usuario para mejorar la experiencia.
\ No newline at end of file
diff --git a/README1.md b/README1.md
new file mode 100644
index 00000000..2f389581
--- /dev/null
+++ b/README1.md
@@ -0,0 +1,12 @@
+# Predicción de Salarios - ML Flask App
+
+## Descripción
+Esta aplicación utiliza un modelo de Machine Learning para predecir el salario de un empleado basado en sus años de experiencia y habilidades.
+
+## Instalación
+1. Clonar el repo.
+2. Crear entorno virtual: `python -m venv venv`.
+3. Instalar dependencias: `pip install -r requirements.txt`.
+
+## Cómo usar
+Ejecuta `python app.py` y abre `http://localhost:5000` en tu navegador.
\ No newline at end of file
diff --git a/test.py b/test.py
new file mode 100644
index 00000000..aa90cbd7
--- /dev/null
+++ b/test.py
@@ -0,0 +1,3 @@
+def test_home_status_code(client):
+    response = client.get('/')
+    assert response.status_code == 200
\ No newline at end of file