Update app.py

app.py

@@ -49,6 +49,7 @@ if choice == 'টেক্সট ইনপুট':
 
 
 
+
 # if choice == 'ফাইল আপলোড':
 #     uploaded_files = st.file_uploader("Choose a CSV file")
 
@@ -57,95 +58,117 @@ if choice == 'টেক্সট ইনপুট':
 #         dataframe = pd.read_excel(uploaded_files)
 #         search_word = st.text_input('Any other word you want to search for', '')
 #         # model = load_model('best-model-002.pt')
-
-#         for index, row in dataframe.iterrows():
-
-#             if pd.notnull(row['Unnamed: 2']):
-#                 data = BasicTokenizer().tokenize(row['Unnamed: 2'])
-#                 sentence = Sentence(data)
-#                 model.predict(sentence)
-                
-#                 search_w_d = []
-#                 search_w = []
-#                 my_list = []
-#                 for token in sentence:
-#                     if search_word is not None:
-#                         if token.text == search_word:
-#                             w = []
-#                             w.append(token.text)
-#                             w.append(token.tag)
-#                             search_w.append("/".join(tuple(w)))
-
-#                     if token.text == search_word_def:
-#                         w_d = []
-
-#                         w_d.append(token.text)
-#                         w_d.append(token.tag)
-
-#                         search_w_d.append("/".join(tuple(w_d)))
-#                     word = []
-#                     word.append(token.text)
-#                     word.append(token.tag)
-#                     my_list.append("/".join(tuple(word)))
-#                 st.write(" ".join(my_list))
-#                 st.write(" ".join(search_w_d))
-#                 st.write(" ".join(search_w))
+#         if st.button('search'):
+#             if search_word is not None:
+#                 for index, row in dataframe.iterrows():
+#                     if pd.notnull(row['Unnamed: 2']):
+#                         data = BasicTokenizer().tokenize(row['Unnamed: 2'])
+#                         sentence = Sentence(data)
+#                         model.predict(sentence)
+                        
+#                         search_w_d = []
+#                         search_w = []
+#                         my_list = []
+#                         for token in sentence:
+#                             if token.text == search_word:
+#                                 w = []
+#                                 w.append(token.text)
+#                                 w.append(token.tag)
+#                                 search_w.append("/".join(tuple(w)))
+#                             if token.text == search_word_def:
+#                                 w_d = []
+#                                 w_d.append(token.text)
+#                                 w_d.append(token.tag)
+#                                 search_w_d.append("/".join(tuple(w_d)))
+#                             word = []
+#                             word.append(token.text)
+#                             word.append(token.tag)
+#                             my_list.append("/".join(tuple(word)))
+#                         st.write(" ".join(my_list))
+#                         st.write(" ".join(search_w_d))
+#                         st.write(" ".join(search_w))
+#             else:
+#                 for index, row in dataframe.iterrows():
+#                     if pd.notnull(row['Unnamed: 2']):
+#                         data = BasicTokenizer().tokenize(row['Unnamed: 2'])
+#                         sentence = Sentence(data)
+#                         model.predict(sentence)
+                        
+#                         search_w_d = []
+
+#                         my_list = []
+#                         for token in sentence:
+#                             if token.text == search_word_def:
+#                                 w_d = []
+#                                 w_d.append(token.text)
+#                                 w_d.append(token.tag)
+#                                 search_w_d.append("/".join(tuple(w_d)))
+#                             word = []
+#                             word.append(token.text)
+#                             word.append(token.tag)
+#                             my_list.append("/".join(tuple(word)))
+#                         st.write(" ".join(my_list))
+#                         st.write(" ".join(search_w_d))
 if choice == 'ফাইল আপলোড':
     uploaded_files = st.file_uploader("Choose a CSV file")
 
     if uploaded_files is not None:
         search_word_def = uploaded_files.name.split('.')[0].split(' ')[-1]
         dataframe = pd.read_excel(uploaded_files)
-        search_word = st.text_input('Any other word you want to search for', '')
-        # model = load_model('best-model-002.pt')
-        if st.button('search'):
-            if search_word is not None:
-                for index, row in dataframe.iterrows():
-                    if pd.notnull(row['Unnamed: 2']):
-                        data = BasicTokenizer().tokenize(row['Unnamed: 2'])
-                        sentence = Sentence(data)
-                        model.predict(sentence)
-                        
-                        search_w_d = []
-                        search_w = []
-                        my_list = []
-                        for token in sentence:
-                            if token.text == search_word:
-                                w = []
-                                w.append(token.text)
-                                w.append(token.tag)
-                                search_w.append("/".join(tuple(w)))
-                            if token.text == search_word_def:
-                                w_d = []
-                                w_d.append(token.text)
-                                w_d.append(token.tag)
-                                search_w_d.append("/".join(tuple(w_d)))
-                            word = []
-                            word.append(token.text)
-                            word.append(token.tag)
-                            my_list.append("/".join(tuple(word)))
-                        st.write(" ".join(my_list))
-                        st.write(" ".join(search_w_d))
-                        st.write(" ".join(search_w))
-            else:
-                for index, row in dataframe.iterrows():
-                    if pd.notnull(row['Unnamed: 2']):
-                        data = BasicTokenizer().tokenize(row['Unnamed: 2'])
-                        sentence = Sentence(data)
-                        model.predict(sentence)
-                        
-                        search_w_d = []
-
-                        my_list = []
-                        for token in sentence:
-                            if token.text == search_word_def:
-                                w_d = []
-                                w_d.append(token.text)
-                                w_d.append(token.tag)
-                                search_w_d.append("/".join(tuple(w_d)))
-                            word = []
-                            word.append(token.text)
-                            word.append(token.tag)
-                            my_list.append("/".join(tuple(word)))
-                        st.write(" ".join(my_list))
-                        st.write(" ".join(search_w_d))
+        choice_new = st.selectbox('আপনি কিভাবে এটি প্রক্রিয়া করতে চান?',['Select', 'Yes', 'No'])
+        if choice_new == 'Yes':
+            search_word = st.text_input('Any other word you want to search for', '')
+            # model = load_model('best-model-002.pt')
+            if st.button('search'):
+                if search_word is not None:
+                    for index, row in dataframe.iterrows():
+                        if pd.notnull(row['Unnamed: 2']):
+                            data = BasicTokenizer().tokenize(row['Unnamed: 2'])
+                            sentence = Sentence(data)
+                            model.predict(sentence)
+                            
+                            search_w_d = []
+                            search_w = []
+                            my_list = []
+                            for token in sentence:
+                                if token.text == search_word:
+                                    w = []
+                                    w.append(token.text)
+                                    w.append(token.tag)
+                                    search_w.append("/".join(tuple(w)))
+                                if token.text == search_word_def:
+                                    w_d = []
+                                    w_d.append(token.text)
+                                    w_d.append(token.tag)
+                                    search_w_d.append("/".join(tuple(w_d)))
+                                word = []
+                                word.append(token.text)
+                                word.append(token.tag)
+                                my_list.append("/".join(tuple(word)))
+                            st.write(" ".join(my_list))
+                            st.write(" ".join(search_w_d))
+                            st.write(" ".join(search_w))
+                else:
+                    st.error('Please enter words', icon="🚨")
+        if choice_new == 'No':
+            for index, row in dataframe.iterrows():
+                if pd.notnull(row['Unnamed: 2']):
+                    data = BasicTokenizer().tokenize(row['Unnamed: 2'])
+                    sentence = Sentence(data)
+                    model.predict(sentence)
+                            
+                    search_w_d = []
+    
+                    my_list = []
+                    for token in sentence:
+                        if token.text == search_word_def:
+                            w_d = []
+                            w_d.append(token.text)
+                            w_d.append(token.tag)
+                            search_w_d.append("/".join(tuple(w_d)))
+                        word = []
+                        word.append(token.text)
+                        word.append(token.tag)
+                        my_list.append("/".join(tuple(word)))
+                    st.write(" ".join(my_list))
+                    st.write(" ".join(search_w_d))