Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,63 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import numpy as np
+import cv2
+import matplotlib.pyplot as plt
+
+st.set_page_config(page_title="Image Processing App", layout="centered")
+
+st.title("🖼️ Image Processing & Analysis")
+st.write("Histogram • Box Plot • Grayscale • Brightness & Contrast")
+
+
+uploaded_file = st.file_uploader(
+    "Upload an image", type=["png", "jpg", "jpeg"]
+)
+
+if uploaded_file is not None:
+    # Read image
+    file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
+    img_bgr = cv2.imdecode(file_bytes, cv2.IMREAD_COLOR)
+    img_rgb = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB)
+
+    st.subheader("Original Image")
+    st.image(img_rgb, use_container_width=True)
+
+
+    gray = cv2.cvtColor(img_rgb, cv2.COLOR_RGB2GRAY)
+
+    st.subheader("Grayscale Image")
+    st.image(gray, clamp=True, use_container_width=True)
+
+
+    st.subheader("Brightness & Contrast Adjustment")
+
+    contrast = st.slider("Contrast", 0.1, 3.0, 1.0, 0.1)
+    brightness = st.slider("Brightness", -100, 100, 0, 5)
+
+    adjusted = np.clip(
+        contrast * img_rgb + brightness, 0, 255
+    ).astype(np.uint8)
+
+    st.image(adjusted, caption="Adjusted Image", use_container_width=True)
+
+
+    st.subheader("Histogram of Grayscale Image")
+
+    fig_hist, ax_hist = plt.subplots()
+    ax_hist.hist(gray.ravel(), bins=256)
+    ax_hist.set_xlabel("Pixel Intensity")
+    ax_hist.set_ylabel("Frequency")
+
+    st.pyplot(fig_hist)
+
+
+    st.subheader("Box Plot of Pixel Intensities")
+
+    fig_box, ax_box = plt.subplots()
+    ax_box.boxplot(gray.ravel(), vert=False)
+    ax_box.set_xlabel("Pixel Intensity")
+
+    st.pyplot(fig_box)
 
-"""
-# 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])),
-    ))
+else:
+    st.info("⬆️ Upload an image to get started.")