Update app.py

app.py

@@ -79,22 +79,31 @@ for lang in langs:
             st.markdown(f"<b>PE</b>: {'<bdi>' if lang == 'ara' else ''}{dic['tgt_text']}{'</bdi>' if lang == 'ara' else ''}", unsafe_allow_html=True)
             st.markdown(f"<b>Aligned edits</b>:", unsafe_allow_html=True)
             if dic["aligned_edit"] is not None:
-                st.text(dic["aligned_edit"].replace("\\n", "\n").replace("REF:", "MT :").replace("HYP:", "PE :"))
+                aligned_edit = dic["aligned_edit"].replace("\\n", "\n").replace("REF:", "MT :").replace("HYP:", "PE :")
+                if lang == 'ara':
+                    edits_reverse = aligned_edit.split("EVAL:")[1][::-1]
+                    aligned_edit = aligned_edit.split("EVAL:")[0] + edits_reverse
+                st.text()
             else:
                 st.text("MT : N/A\nPE : N/A\nEVAL: N/A\n")
             st.markdown(f"<b>Metadata</b>:", unsafe_allow_html=True)
             st.json({k:v for k,v in dic.items() if k not in ["src_text", "mt_text", "tgt_text", "aligned_edit"]}, expanded=False)
-            if lang == "ita" and task_name != "From Scratch (HT)":
+            if task_name != "From Scratch (HT)":
                 setting = "pe1" if task_name == "Google PE (PE1)" else "pe2"
                 st.markdown(f"<b>Attributions</b>:", unsafe_allow_html=True)
                 st.text("Click on checkboxes to show/hide the respective attributions computed with mBART 1-to-50.")
                 for sentence_type in ["mt", "pe", "diff"]:
                     url = attribution_path.format(idx=item_id, setting=setting, sentence_type=sentence_type)
-                    g = urllib.request.urlopen(url)
-                    fpath = f"attr_{sentence_type}.json.gz"
-                    with open(fpath, 'b+w') as f:
-                        f.write(g.read())
-                    attr = FeatureAttributionOutput.load(fpath, decompress=True)
-                    if st.checkbox(sentence_type.upper(), key=f"{lang}_{task_name}_{sentence_type}"):
-                        st.markdown(f"{attr.show(return_html=True, display=False, do_aggregation=False)}", unsafe_allow_html=True)
+                    try:
+                        g = urllib.request.urlopen(url)
+                        fpath = f"attr_{sentence_type}.json.gz"
+                        with open(fpath, 'b+w') as f:
+                            f.write(g.read())
+                        attr = FeatureAttributionOutput.load(fpath, decompress=True)
+                        if st.checkbox(sentence_type.upper(), key=f"{lang}_{task_name}_{sentence_type}"):
+                            st.markdown(f"{attr.show(return_html=True, display=False, do_aggregation=False)}", unsafe_allow_html=True)
+                    except (urllib.HTTPError, urllib.URLError) as e:
+                        st.checkbox(sentence_type.upper() + " (NOT AVAILABLE)", key=f"{lang}_{task_name}_{sentence_type}", disabled=True)
+                        
+