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FIX-Deploy a Gradio app for sketch recognition #8019

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FIX-Deploy a Gradio app for sketch recognition #8019

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6 changes: 3 additions & 3 deletions ...oud/ai_machine_learning/deploy_tuto_05_gradio_sketch_recognition/guide.en-gb.md
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Original file line number Diff line number Diff line change
Expand Up @@ -87,7 +87,7 @@ Load the previously trained model for handwritten digits classification.
>

```python
model = tf.keras.models.load_model("model/sketch_recognition_numbers_model.h5")
model = tf.keras.models.load_model("model/sketch_recognition_numbers_model.h5", compile=False)
```

Create the function that recognizes the written number.
Expand Down Expand Up @@ -161,7 +161,7 @@ CMD [ "python3" , "/workspace/app.py" ]
Launch the following command from the **Dockerfile** directory to build your application image:

```console
docker build . -t gradio_app:latest
docker buildx build --platform linux/amd64 -t gradio_app:latest
```

> [!primary]
Expand Down Expand Up @@ -211,7 +211,7 @@ The following command starts a new AI Deploy app running your Gradio application
```console
ovhai app run \
--cpu 1 \
--volume <my_saved_model>@<region>/:/workspace/model:RO \
--volume <my_saved_model>@<region>/model/:/workspace/model:RO \
<shared-registry-address>/gradio_app:latest
```

Expand Down