Update app.py

app.py

@@ -47,34 +47,61 @@ if choice == 'টেক্সট ইনপুট':
             my_list.append(tuple(word))
         annotated_text(my_list)
 
+# if choice == 'ফাইল আপলোড':
+#     uploaded_files = st.file_uploader("Choose a CSV file")
+    
+#     for uploaded_file in uploaded_files:
+#         bytes_data = uploaded_file.read()
+#         # st.write("filename:", uploaded_file.name)
+#         search_word_def = uploaded_file.name.split('.')[0].split(' ')[-1]
+#         dataframe = pd.read_excel(uploaded_file)
+#         # model = load_model('best-model-002.pt')
+        
+#         # st.write(dataframe)
+#         for index, row in dataframe.iterrows():
+#             # st.write(index)
+#             # st.write(row['Unnamed: 2'])
+#             if pd.notnull(row['Unnamed: 2']):
+#                 data = BasicTokenizer().tokenize(row['Unnamed: 2'])
+#                 sentence = Sentence(data)
+#                 model.predict(sentence)
+                
+#                 # st.write(sentence)
+#                 my_list = []
+#                 for token in sentence:
+#                     word = []
+#                     word.append(token.text)
+#                     word.append(token.tag)
+#                     my_list.append("/".join(tuple(word)))
+#                 # st.write(" ".join(my_list))
+
 if choice == 'ফাইল আপলোড':
     uploaded_files = st.file_uploader("Choose a CSV file")
     
-    for uploaded_file in uploaded_files:
-        bytes_data = uploaded_file.read()
-        # st.write("filename:", uploaded_file.name)
-        search_word_def = uploaded_file.name.split('.')[0].split(' ')[-1]
-        dataframe = pd.read_excel(uploaded_file)
-        # model = load_model('best-model-002.pt')
+    # for uploaded_file in uploaded_files:
+    bytes_data = uploaded_files.read()
+    # st.write("filename:", uploaded_file.name)
+    search_word_def = uploaded_files.name.split('.')[0].split(' ')[-1]
+    dataframe = pd.read_excel(uploaded_files)
+    # model = load_model('best-model-002.pt')
         
-        # st.write(dataframe)
-        for index, row in dataframe.iterrows():
-            # st.write(index)
-            # st.write(row['Unnamed: 2'])
-            if pd.notnull(row['Unnamed: 2']):
-                data = BasicTokenizer().tokenize(row['Unnamed: 2'])
-                sentence = Sentence(data)
-                model.predict(sentence)
+    st.write(dataframe)
+        # for index, row in dataframe.iterrows():
+        #     # st.write(index)
+        #     # st.write(row['Unnamed: 2'])
+        #     if pd.notnull(row['Unnamed: 2']):
+        #         data = BasicTokenizer().tokenize(row['Unnamed: 2'])
+        #         sentence = Sentence(data)
+        #         model.predict(sentence)
                 
-                # st.write(sentence)
-                my_list = []
-                for token in sentence:
-                    word = []
-                    word.append(token.text)
-                    word.append(token.tag)
-                    my_list.append("/".join(tuple(word)))
-                # st.write(" ".join(my_list))
-
+        #         # st.write(sentence)
+        #         my_list = []
+        #         for token in sentence:
+        #             word = []
+        #             word.append(token.text)
+        #             word.append(token.tag)
+        #             my_list.append("/".join(tuple(word)))
+        #         # st.write(" ".join(my_list))