Update for compatibility

README.md

@@ -1,16 +1,13 @@
----
-title: building_footprint_segmentation
-app_file: demo.py
-sdk: gradio
-sdk_version: 4.24.0
----
+# Building Footprint Segmentation
 A U-Net model for segmenting buildings from satellite imagery
 
 A binary segmentation mask (of the same height and width with the input image) should be created The segmentation mask should have a value of 1 at pixels where there is a building and 0 at other pixels.
 
 The figure below showcases the input and output image expected. In the mask pixels that correspond to pixels in the input image are white and background is black.
 
-![Expected input and output](images/task_definition.png)
+![Expected input and output](https://raw.githubusercontent.com/gunaykrgl/buildingSegmentation/main/Notebook/task_definition.png)
+
+The training and Machine-learning related code is found at [the Notebook](https://github.com/gunaykrgl/buildingSegmentation/blob/main/Notebook/Building_Segmentation.ipynb).
 
 # Data
 The data used in this project is sourced from [Road and Building Detection Datasets](https://www.cs.toronto.edu/~vmnih/data/) with the following citation:
@@ -26,3 +23,27 @@ The data used in this project is sourced from [Road and Building Detection Datas
 ```
 
 For the ease of use, relevant parts of this dataset was sourced from [kaggle.com](https://www.kaggle.com/datasets/balraj98/massachusetts-buildings-dataset)
+
+# Remote Running
+You can try the application without installation by navigating to the following link:
+[Building Footprint Segmentation](https://huggingface.co/spaces/gunayk3/building_footprint_segmentation)
+
+## Screenshots
+<img src="https://raw.githubusercontent.com/gunaykrgl/buildingSegmentation/main/screenshots/scr1.png" width="600">
+<img src="https://raw.githubusercontent.com/gunaykrgl/buildingSegmentation/main/screenshots/scr2.png" width="600">
+<img src="https://raw.githubusercontent.com/gunaykrgl/buildingSegmentation/main/screenshots/scr3.png" width="600">
+
+# Local Installation
+```
+gh repo clone gunaykrgl/buildingSegmentation
+cd buildingSegmentation
+pip install -r requirements.txt
+```
+
+## Running Locally
+After local installation, the application can be run by the following command:
+```
+gradio run demo.py
+```
+
+After this command is run, there will be a localhost url be generated at the end of the outputs. Later, the application can be used by navigating to the url in a web browser.

requirements.txt

@@ -1,5 +1,96 @@
-gradio==4.24.0
+absl-py==2.1.0
+aiofiles==23.2.1
+altair==5.5.0
+annotated-types==0.7.0
+anyio==4.8.0
+astunparse==1.6.3
+attrs==25.1.0
+cachetools==5.5.2
+certifi==2025.1.31
+charset-normalizer==3.4.1
+click==8.1.8
+contourpy==1.3.0
+cycler==0.12.1
+exceptiongroup==1.2.2
+fastapi==0.115.11
+ffmpy==0.5.0
+filelock==3.17.0
+flatbuffers==25.2.10
+fonttools==4.56.0
+fsspec==2025.3.0
+gast==0.6.0
+google-auth==2.38.0
+google-auth-oauthlib==1.2.1
+google-pasta==0.2.0
+gradio==4.44.1
+gradio_client==1.3.0
+grpcio==1.71.0
+h11==0.14.0
+h5py==3.13.0
+httpcore==1.0.7
+httpx==0.28.1
+huggingface-hub==0.29.3
+idna==3.10
+importlib_metadata==8.6.1
+importlib_resources==6.5.2
+Jinja2==3.1.6
+jsonschema==4.23.0
+jsonschema-specifications==2024.10.1
 keras==2.15.0
+kiwisolver==1.4.7
+libclang==18.1.1
+Markdown==3.7
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
 matplotlib==3.7.1
+mdurl==0.1.2
+ml-dtypes==0.3.2
+narwhals==1.30.0
 numpy==1.23.5
-tensorflow
+oauthlib==3.2.2
+opt_einsum==3.4.0
+orjson==3.10.15
+packaging==24.2
+pandas==2.2.3
+pillow==10.4.0
+protobuf==4.25.6
+pyasn1==0.6.1
+pyasn1_modules==0.4.1
+pydantic==2.10.6
+pydantic_core==2.27.2
+pydub==0.25.1
+Pygments==2.19.1
+pyparsing==3.2.1
+python-dateutil==2.9.0.post0
+python-multipart==0.0.20
+pytz==2025.1
+PyYAML==6.0.2
+referencing==0.36.2
+requests==2.32.3
+requests-oauthlib==2.0.0
+rich==13.9.4
+rpds-py==0.23.1
+rsa==4.9
+ruff==0.9.10
+semantic-version==2.10.0
+shellingham==1.5.4
+six==1.17.0
+sniffio==1.3.1
+starlette==0.46.1
+tensorboard==2.15.2
+tensorboard-data-server==0.7.2
+tensorflow==2.15.1
+tensorflow-estimator==2.15.0
+tensorflow-io-gcs-filesystem==0.37.1
+termcolor==2.5.0
+tomlkit==0.12.0
+tqdm==4.67.1
+typer==0.15.2
+typing_extensions==4.12.2
+tzdata==2025.1
+urllib3==2.3.0
+uvicorn==0.34.0
+websockets==11.0.3
+Werkzeug==3.1.3
+wrapt==1.14.1
+zipp==3.21.0