fixed selftext

app.py

@@ -15,16 +15,6 @@ def read_data(dataset_repo='dhmeltzer/asks_validation_embedded'):
     """Read the data from huggingface."""
     return load_dataset(dataset_repo)['validation_asks']
 
-#@st.cache(allow_output_mutation=True)
-#def load_bert_model(name="nli-distilbert-base"):
-#    """Instantiate a sentence-level DistilBERT model."""
-#    return AutoModel.from_pretrained(f'sentence-transformers/{name}')
-#
-#@st.cache(allow_output_mutation=True)
-#def load_tokenizer(name="nli-distilbert-base"):
-#    return AutoTokenizer.from_pretrained(f'sentence-transformers/{name}')
-
-#@st.cache(allow_output_mutation=True)
 @st.cache_data
 def load_faiss_index(path_to_faiss="./faiss_index_small.pickle"):
     """Load and deserialize the Faiss index."""
@@ -83,11 +73,25 @@ def main():
             #    continue
 
             st.write(
-                f"""**{f['title']}**  
-            **text**: {f['selftext']}  
-            """
+                f"""**title**: {f['title']}"""
             )
+            if f['selftext']!='':
+               st.write(
+                f"""**text**: {f['selftext']}"""
+            ) 
+
 
 
 if __name__ == "__main__":
     main()
+
+#@st.cache(allow_output_mutation=True)
+#def load_bert_model(name="nli-distilbert-base"):
+#    """Instantiate a sentence-level DistilBERT model."""
+#    return AutoModel.from_pretrained(f'sentence-transformers/{name}')
+#
+#@st.cache(allow_output_mutation=True)
+#def load_tokenizer(name="nli-distilbert-base"):
+#    return AutoTokenizer.from_pretrained(f'sentence-transformers/{name}')
+
+#@st.cache(allow_output_mutation=True)