Upgrade to Streamlit 1.40 + TF 2.20 (resolves protobuf conflict); fix use_container_width

app.py

@@ -133,7 +133,7 @@ if uploaded_file is not None:
     
     col1, col2 = st.columns(2)
     with col1:
-        st.image(image, caption="Original Image", use_column_width=True)
+        st.image(image, caption="Original Image", use_container_width=True)
     
     with st.spinner("Analyzing..."):
         # Load model
@@ -167,7 +167,7 @@ if uploaded_file is not None:
     col3, col4 = st.columns(2)
     with col3:
         st.subheader("ELA Artifacts")
-        st.image(ela_img, caption="Error Level Analysis (JPEG inconsistencies)", use_column_width=True)
+        st.image(ela_img, caption="Error Level Analysis (JPEG inconsistencies)", use_container_width=True)
         st.info("ELA highlights regions with different compression levels, often indicating tampered areas.")
         
     with col4:
@@ -181,7 +181,7 @@ if uploaded_file is not None:
             # Blend
             img_np = np.array(image)
             overlay = np.uint8(heatmap_resized * 0.4 + img_np * 0.6)
-            st.image(overlay, caption="Model Focus Regions", use_column_width=True)
+            st.image(overlay, caption="Model Focus Regions", use_container_width=True)
             st.info("The heatmap shows which parts of the image the model focused on to make its decision.")
         except Exception as e:
             st.error(f"Could not generate Grad-CAM: {e}")

requirements.txt

@@ -1,8 +1,8 @@
-streamlit==1.35.0
-tensorflow-cpu==2.15.0
-opencv-python-headless==4.8.1.78
-pillow==10.0.0
-numpy==1.24.3
-scikit-learn==1.3.2
-matplotlib==3.8.0
-huggingface-hub==0.19.4
+streamlit==1.40.2
+tensorflow==2.20.0
+opencv-python-headless==4.10.0.84
+pillow==10.4.0
+numpy==1.26.4
+scikit-learn==1.5.2
+matplotlib==3.9.2
+huggingface-hub==0.25.2