Create app.py

app.py

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+import streamlit as st
+from PIL import Image, ImageEnhance
+import pandas as pd
+import numpy as np
+import io
+import os
+
+def zoom_at(img, x, y, zoom):
+    w, h = img.size
+    zoom2 = zoom * 2
+    img = img.crop((x - w / zoom2, y - h / zoom2,
+                    x + w / zoom2, y + h / zoom2))
+    return img.resize((w, h), Image.LANCZOS)
+
+st.title("Cell Explorer")
+
+uploaded_files = st.file_uploader("Upload Images", accept_multiple_files=True, type="jpg")
+
+if uploaded_files:
+    img_index = st.selectbox("Select Image", range(len(uploaded_files)))
+    x = st.slider("X Coordinate", 0, 500, 205)
+    y = st.slider("Y Coordinate", 0, 500, 250)
+    zoom = st.slider("Zoom", 1, 10, 5)
+    contrast = st.slider("Contrast", 0.0, 5.0, 1.0)
+    brightness = st.slider("Brightness", 0.0, 5.0, 1.0)
+    sharpness = st.slider("Sharpness", 0.0, 2.0, 1.0)
+    save_image = st.checkbox("Save Image")
+
+    img_data = uploaded_files[img_index].read()
+    img = Image.open(io.BytesIO(img_data)).resize((500, 500))
+    img_zoomed = zoom_at(img, x, y, zoom)
+    img_contrast = ImageEnhance.Contrast(img_zoomed).enhance(contrast)
+    img_bright = ImageEnhance.Brightness(img_contrast).enhance(brightness)
+    img_sharp = ImageEnhance.Sharpness(img_bright).enhance(sharpness)
+
+    if save_image:
+        img_sharp.save("image-processed.jpg")
+        st.success("Image saved as image-processed.jpg")
+
+    st.image(img_sharp, caption="Processed Image", use_column_width=True)
+
+    description = st.text_area("Describe the image", "")
+    if st.button("Save Description"):
+        with open("saved_image_description.txt", "w") as f:
+            f.write(description)
+        st.success("Description saved as saved_image_description.txt")
+
+    if st.button("Save Image Parameters"):
+        params = {
+            "coordinates_x": x,
+            "coordinates_y": y,
+            "zoom": zoom,
+            "contrast": contrast,
+            "brightness": brightness,
+            "sharpness": sharpness
+        }
+        with open("saved_image_parameters.json", "w") as f:
+            f.write(pd.DataFrame([params]).to_json(orient="records"))
+        st.success("Image parameters saved as saved_image_parameters.json")
+
+    if st.button("Rename Files"):
+        file_ext = str(np.random.randint(100))
+        os.rename("image-processed.jpg", f"img_processed{file_ext}.jpg")
+        os.rename("saved_image_parameters.json", f"saved_image_parameters{file_ext}.json")
+        os.rename("saved_image_description.txt", f"saved_image_description{file_ext}.txt")
+        st.success("Files renamed successfully")