Déploiement du détecteur de paludisme

.gitattributes

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+model/malaria_detector_model.h5 filter=lfs diff=lfs merge=lfs -text

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/deepLearningExam.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/.venv" />
+    </content>
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/Project_Default.xml

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+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredPackages">
+        <value>
+          <list size="7">
+            <item index="0" class="java.lang.String" itemvalue="chrome-driver-binary" />
+            <item index="1" class="java.lang.String" itemvalue="chrome-driver-autoinstaller" />
+            <item index="2" class="java.lang.String" itemvalue="tqdm" />
+            <item index="3" class="java.lang.String" itemvalue="easydict" />
+            <item index="4" class="java.lang.String" itemvalue="tensorflow" />
+            <item index="5" class="java.lang.String" itemvalue="opencv-python" />
+            <item index="6" class="java.lang.String" itemvalue="lxml" />
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+    </inspection_tool>
+  </profile>
+</component>

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/material_theme_project_new.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="MaterialThemeProjectNewConfig">
+    <option name="metadata">
+      <MTProjectMetadataState>
+        <option name="migrated" value="true" />
+        <option name="pristineConfig" value="false" />
+        <option name="userId" value="-7f561b8d:190077bfe37:-7ffe" />
+      </MTProjectMetadataState>
+    </option>
+  </component>
+</project>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.9 (deepLearningExam)" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (deepLearningExam)" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/deepLearningExam.iml" filepath="$PROJECT_DIR$/.idea/deepLearningExam.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>

app.py

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+import gradio as gr
+from keras.models import load_model
+from keras.preprocessing.image import load_img, img_to_array
+import numpy as np
+
+model = load_model("malaria_detector_model.h5")
+img_size = 64
+
+def predict(img):
+    img = img.resize((img_size, img_size))
+    img_array = img_to_array(img) / 255.0
+    img_array = np.expand_dims(img_array, axis=0)
+    prediction = model.predict(img_array)[0][0]
+    result = "Infectée (1)" if prediction > 0.5 else "Non infectée (0)"
+    return f"{result} (confidence: {prediction:.2f})"
+
+gr.Interface(fn=predict,
+             inputs=gr.Image(type="pil"),
+             outputs="text",
+             title="Détecteur de paludisme").launch()

model/malaria_detector_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0e99917ae366f9f462affcc24938c3e0b33aaeb1946195fdc75c8f0f8dca47a1
+size 34078240

requirements.txt

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+tensorflow
+gradio
+numpy
+pillow