Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -21,8 +21,11 @@ def load_model(model_name):
|
|
| 21 |
model = SequenceTagger.load(model_name)
|
| 22 |
return (model)
|
| 23 |
|
| 24 |
-
activity = ['ফাইল আপলোড', 'টেক্সট ইনপুট']
|
| 25 |
choice = st.sidebar.selectbox('আপনি কিভাবে এটি প্রক্রিয়া করতে চান?',activity)
|
|
|
|
|
|
|
|
|
|
| 26 |
|
| 27 |
|
| 28 |
if choice == 'টেক্সট ইনপুট':
|
|
@@ -33,7 +36,7 @@ if choice == 'টেক্সট ইনপুট':
|
|
| 33 |
|
| 34 |
|
| 35 |
sentence = Sentence(data)
|
| 36 |
-
model = load_model('best-model-002.pt')
|
| 37 |
model.predict(sentence)
|
| 38 |
my_list = []
|
| 39 |
|
|
@@ -50,12 +53,14 @@ if choice == 'ফাইল আপলোড':
|
|
| 50 |
bytes_data = uploaded_file.read()
|
| 51 |
st.write("filename:", uploaded_file.name)
|
| 52 |
dataframe = pd.read_excel(uploaded_file)
|
| 53 |
-
model = load_model('best-model-002.pt')
|
| 54 |
-
|
| 55 |
|
| 56 |
|
| 57 |
for index, row in dataframe.iterrows():
|
| 58 |
-
|
|
|
|
|
|
|
| 59 |
model.predict(sentence)
|
| 60 |
st.write(index)
|
| 61 |
st.write(row['Unnamed: 2'])
|
|
|
|
| 21 |
model = SequenceTagger.load(model_name)
|
| 22 |
return (model)
|
| 23 |
|
| 24 |
+
activity = ['আপনার পছন্দ নির্বাচন করুন', 'ফাইল আপলোড', 'টেক্সট ইনপুট']
|
| 25 |
choice = st.sidebar.selectbox('আপনি কিভাবে এটি প্রক্রিয়া করতে চান?',activity)
|
| 26 |
+
model = load_model('best-model-002.pt')
|
| 27 |
+
|
| 28 |
+
|
| 29 |
|
| 30 |
|
| 31 |
if choice == 'টেক্সট ইনপুট':
|
|
|
|
| 36 |
|
| 37 |
|
| 38 |
sentence = Sentence(data)
|
| 39 |
+
# model = load_model('best-model-002.pt')
|
| 40 |
model.predict(sentence)
|
| 41 |
my_list = []
|
| 42 |
|
|
|
|
| 53 |
bytes_data = uploaded_file.read()
|
| 54 |
st.write("filename:", uploaded_file.name)
|
| 55 |
dataframe = pd.read_excel(uploaded_file)
|
| 56 |
+
# model = load_model('best-model-002.pt')
|
| 57 |
+
|
| 58 |
|
| 59 |
|
| 60 |
for index, row in dataframe.iterrows():
|
| 61 |
+
data = BasicTokenizer().tokenize(row['Unnamed: 2'])
|
| 62 |
+
sentence = Sentence(data)
|
| 63 |
+
|
| 64 |
model.predict(sentence)
|
| 65 |
st.write(index)
|
| 66 |
st.write(row['Unnamed: 2'])
|