Update app.py

app.py

@@ -15,8 +15,6 @@ from sklearn.metrics.pairwise import cosine_similarity
 
 model = SentenceTransformer('paraphrase-xlm-r-multilingual-v1')
 
-sentences = []
-     
 # Streamlit interface
       
 st.title("Sentence Similarity")
@@ -45,6 +43,9 @@ if sidebar_selectbox == "Compare two sentences":
        
               # Perform calculations
               
+              #Initialise sentences
+              sentences = []
+              
               # Append input sentences to 'sentences' list
               sentences.append(sentence_1)
               sentences.append(sentence_2)
@@ -75,14 +76,18 @@ if sidebar_selectbox == "Bulk upload and mark":
               st.write(file_details)
               df = pd.read_csv(data_file)
               
-              # Append new column to dataframe
+              # Get length of df.shape
               total_rows = df.shape[0]
               
               similarity_scores = []
               
+              for index, sentence in enumerate(range(total_rows)):
+                     
+              
               # similarity_scores.append()
               
+              # Append new column to dataframe
+              
               # df['Similarity'] = similarity_scores
               
-              st.dataframe(df)
-              st.write(total_rows)
+              st.dataframe(df)