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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+chexnet_pneumonia_model_v1.keras filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -1,20 +1,11 @@
-FROM python:3.13.5-slim
+FROM python:3.9-slim
 
 WORKDIR /app
 
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    git \
-    && rm -rf /var/lib/apt/lists/*
+COPY . .
 
-COPY requirements.txt ./
-COPY src/ ./src/
-
-RUN pip3 install -r requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 
 EXPOSE 8501
 
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
-
-ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]

app.py

@@ -0,0 +1,35 @@
+import streamlit as st
+import tensorflow as tf
+import numpy as np
+from PIL import Image
+
+st.title("🩺 Pneumonia Detection from Chest X-ray")
+
+@st.cache_resource
+def load_model():
+    return tf.keras.models.load_model("chexnet_pneumonia_model_v1.keras")
+
+model = load_model()
+
+def preprocess_image(img):
+    img = img.convert("L")
+    img = img.resize((200, 200))
+    img = np.array(img) / 255.0
+    img = img.reshape(1, 200, 200, 1)
+    return img
+
+uploaded_file = st.file_uploader("Upload Chest X-ray", type=["jpg","png","jpeg"])
+
+if uploaded_file:
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    if st.button("Predict"):
+        img_input = preprocess_image(image)
+        prob = model.predict(img_input)[0][0]
+        pred = 1 if prob >= 0.5 else 0
+
+        if pred == 1:
+            st.error(f"Pneumonia Detected (Probability: {prob:.2f})")
+        else:
+            st.success(f"No Pneumonia Detected (Probability: {1-prob:.2f})")

chexnet_pneumonia_model_v1.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c837953b7f9a74b0767881c328207b177fcab4074f9757f1f99ab31832b607e
+size 31245914

requirements.txt

@@ -1,3 +1,4 @@
-altair
-pandas
-streamlit
+tensorflow==2.15.0
+streamlit
+numpy
+pillow