Change ports

Dockerfile

@@ -19,9 +19,9 @@ RUN [ "python", "-c", "import nltk; nltk.download('wordnet', download_dir='/usr/
 #
 COPY src /
 
-# ---- Listen to port 5000
+# ---- Listen to port 7860
 #
-EXPOSE 5000
+EXPOSE 7860
 
 # ---- Define the working dir in the contener
 #
@@ -29,4 +29,4 @@ WORKDIR /
 
 # ---- Commande to start the app
 # ----
-CMD ["gunicorn", "--bind", "0.0.0.0:5000", "main:app"]
+CMD ["gunicorn", "--bind", "0.0.0.0:7860", "main:app"]

README.md

@@ -8,4 +8,41 @@ pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Sign Language Application
+
+## Hugging Face Spaces Repository
+
+This Sign Language recognition application is deployed on Hugging Face Spaces using Docker:
+
+- **Hugging Face Spaces Repository**: [project-sign-language/Sign_language](https://huggingface.co/spaces/project-sign-language/Sign_language)
+
+## GitHub Repository
+
+The source code for this application is also available on GitHub:
+
+- **GitHub Repository**: [ShaymaEssghaier/Sign_language](https://github.com/ShaymaEssghaier/Sign_language)
+
+## Docker Repository
+
+The Docker image used to deploy this application is also available on Docker Hub:
+
+- **Docker Repository**: [remifigea/sign_language](https://hub.docker.com/r/remifigea/sign_language)
+
+## Dockerfiles
+
+### Dockerfile
+
+Use this Dockerfile to run the application in local development mode.
+
+To build and run the image locally:
+```bash
+docker build -f Dockerfile -t my-app:local .
+docker run -p 5000:5000 my-app:local
+```
+
+### Dockerfile.production
+
+Use this Dockerfile to run the application in production mode. This is the one used on the Hugging Face Hub repository after renaming it to Dockerfile.
+
+
+