Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,43 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import pandas as pd
+import numpy as np
+import joblib
+from PIL import Image
+import os
+
+# ======================
+# LOAD MODEL
+# ======================
+model = joblib.load("digit_model.pkl")
+
+# ======================
+# PAGE CONFIG
+# ======================
+st.set_page_config(
+    page_title="Digit Recognizer",
+    page_icon="🔢",
+    layout="centered"
+)
+
+st.title("🔢 Handwritten Digit Recognizer")
+st.write("Upload a 28x28 image of a digit to get prediction")
+
+# ======================
+# IMAGE UPLOAD
+# ======================
+uploaded_file = st.file_uploader("Upload Digit Image", type=["png", "jpg", "jpeg"])
+
+if uploaded_file is not None:
+
+    image = Image.open(uploaded_file).convert("L")
+    image = image.resize((28, 28))
+
+    st.image(image, caption="Processed Image", width=150)
+
+    img_array = np.array(image)
+    img_array = img_array.reshape(1, 784)
+
+    prediction = model.predict(img_array)[0]
 
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+    st.subheader("Prediction")
+    st.success(f"Predicted Digit: {prediction}")