diff --git a/README.md b/README.md
index be679c2..865566c 100644
--- a/README.md
+++ b/README.md
@@ -1,30 +1,9 @@
 # Instalación
-Para instalar la aplicación descargar el proyecto. Una vez descargado, el archivo main.py debe quedar así comentado:
-```python
-from fastapi import FastAPI
-from .database import Base, engine
-from .routes import router
-# from apscheduler.schedulers.background import BackgroundScheduler
-# from .webscrapper import ejecutar_scrapper
-
-# Crear las tablas en MySQL si no existen
-Base.metadata.create_all(bind=engine)
-
-# Inicializar FastAPI
-app = FastAPI()
-# scheduler = BackgroundScheduler()
-
-# Incluir rutas
-app.include_router(router)
-
-# @app.on_event("startup")
-# def startup_event():
-#     scheduler.add_job(ejecutar_scrapper, "interval", hours=24)
-#     scheduler.start()
-
-# @app.on_event("shutdown")
-# def shutdown_event():
-#     scheduler.shutdown()
+Para la instalación levantar el contenedor, entrar en la consola de ejecución, y realizar:
+```sh
+chmod +x /app/auto.sh
+cd /app
+./auto.sh
 ```
-Proceder con `docker-compose up -d --build`.
-Una vez finalizado, descomentar las líneas y realizar de nuevo `docker-compose up -d --build`.
+
+Esto inicia el ciclo de captación de noticias cada 24 horas
diff --git a/app/Dockerfile b/app/Dockerfile
index c2dd82a..946cf11 100644
--- a/app/Dockerfile
+++ b/app/Dockerfile
@@ -5,10 +5,15 @@ WORKDIR ./
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 RUN mkdir app
+ENV PYTHONPATH=/app
 
 COPY . ./app
 
+# Asegúrate de que el script auto.sh sea ejecutable
+RUN chmod +x /app/auto.sh
+
 RUN ls
 
-CMD ["uvicorn", "app.main:app","--reload", "--host", "0.0.0.0", "--port", "8000"]
+# Ejecuta el script auto.sh al iniciar el contenedor, luego ejecuta uvicorn
+CMD ["/bin/sh", "-c", "/app/auto.sh && uvicorn app.main:app --reload --host 0.0.0.0 --port 8000"]
 
diff --git a/app/auto.sh b/app/auto.sh
new file mode 100644
index 0000000..6d3ebb1
--- /dev/null
+++ b/app/auto.sh
@@ -0,0 +1,11 @@
+#!/bin/bash
+# auto.sh - Script que ejecuta el scrapper cada 24 horas con un bucle infinito
+
+while true
+do
+    # Ejecutar el script Python
+    python /app/webscrapper.py
+
+    # Dormir por 24 horas (86400 segundos)
+    sleep 86400
+done
\ No newline at end of file
diff --git a/app/main.py b/app/main.py
index f9103c8..10ddb9c 100644
--- a/app/main.py
+++ b/app/main.py
@@ -1,8 +1,8 @@
 from fastapi import FastAPI
-from .database import Base, engine
-from .routes import router
+from database import Base, engine
+from routes import router
 from apscheduler.schedulers.background import BackgroundScheduler
-from .webscrapper import ejecutar_scrapper
+#from webscrapper import ejecutar_scrapper
 
 # Crear las tablas en MySQL si no existen
 Base.metadata.create_all(bind=engine)
@@ -14,11 +14,11 @@ scheduler = BackgroundScheduler()
 # Incluir rutas
 app.include_router(router)
 
-@app.on_event("startup")
-def startup_event():
-    scheduler.add_job(ejecutar_scrapper, "interval", hours=24)
-    scheduler.start()
+# @app.on_event("startup")
+# def startup_event():
+#     scheduler.add_job(ejecutar_scrapper, "interval", hours=24)
+#     scheduler.start()
 
-@app.on_event("shutdown")
-def shutdown_event():
-    scheduler.shutdown()
+# @app.on_event("shutdown")
+# def shutdown_event():
+#     scheduler.shutdown()
diff --git a/app/models.py b/app/models.py
index c755897..8c94bd0 100644
--- a/app/models.py
+++ b/app/models.py
@@ -1,6 +1,6 @@
 from sqlalchemy import Column, Integer, String, Text, DateTime, Boolean
 from datetime import datetime
-from .database import Base
+from database import Base
 
 class NewsItem(Base):
     __tablename__ = "news"
diff --git a/app/routes.py b/app/routes.py
index 2d36366..6d8f017 100644
--- a/app/routes.py
+++ b/app/routes.py
@@ -1,8 +1,8 @@
 from fastapi import APIRouter, Depends, HTTPException
 from sqlalchemy.orm import Session
 from sqlalchemy.sql import func
-from .database import get_db
-from .models import NewsItem
+from database import get_db
+from models import NewsItem
 from pydantic import BaseModel
 from datetime import datetime
 import logging
diff --git a/app/webscrapper.py b/app/webscrapper.py
index 235b9d5..843e81d 100644
--- a/app/webscrapper.py
+++ b/app/webscrapper.py
@@ -2,14 +2,14 @@ import requests
 from bs4 import BeautifulSoup
 import time
 from googlenewsdecoder import gnewsdecoder
-from .iacorrector import is_security_related, is_critico, is_favorable  # Importa la función desde iacorrector.py
+from iacorrector import is_security_related, is_critico, is_favorable  # Importa la función desde iacorrector.py
 from datetime import datetime
 import pytz
 import logging
-from .database import get_db
+from database import get_db
 from sqlalchemy.orm import Session
-from .routes import create_news_item, NewsItemCreate
-from .autorsearcher import get_author_from_url
+from routes import create_news_item, NewsItemCreate
+from autorsearcher import get_author_from_url
 
 # Configuración del logging
 LOG_FILE = "app.log"
@@ -94,7 +94,7 @@ def search_news(query):
     articles = soup.find_all("item")
     news_list = []
 
-    for article in articles[:10]:  # Limitar a los primeros 30 artículos
+    for article in articles[:1]:  # Limitar a los primeros 30 artículos
         try:
             title = article.title.get_text(strip=True)
             content = article.description.get_text(strip=True) if article.description else "Sin descripción"
diff --git a/docker-compose.yml b/docker-compose.yml
index 1fa6836..4c6b1be 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -36,7 +36,7 @@ services:
     healthcheck:
       test: ["CMD", "mysqladmin", "ping", "-h", "localhost"]
       timeout: 5s
-      retries: 10
+      retries: 2
 
   # metabase:
     # image: metabase/metabase:latest