Update app.py
Browse files
app.py
CHANGED
@@ -60,7 +60,7 @@ model_dict = {
|
|
60 |
|
61 |
pipeline_model = load_pipeline(model_dict[task], task)
|
62 |
|
63 |
-
def process_entities(entities):
|
64 |
"""
|
65 |
Varlıkları birleştirip anlamlı bir şekilde düzenler.
|
66 |
"""
|
@@ -68,7 +68,7 @@ def process_entities(entities):
|
|
68 |
current_entity = None
|
69 |
|
70 |
for entity in entities:
|
71 |
-
if
|
72 |
if current_entity and current_entity['label'] == entity['entity']:
|
73 |
current_entity['word'] += entity['word'].replace('##', '')
|
74 |
current_entity['end'] = entity['end']
|
@@ -104,22 +104,21 @@ if st.button("Çalıştır") and input_text:
|
|
104 |
# Process entities
|
105 |
processed_entities = []
|
106 |
for entity in output:
|
107 |
-
|
108 |
-
|
109 |
-
|
110 |
-
|
111 |
-
|
112 |
-
|
113 |
-
|
114 |
-
|
115 |
-
|
116 |
-
|
117 |
-
|
118 |
-
|
119 |
-
})
|
120 |
|
121 |
# Aggregate entities
|
122 |
-
df = pd.DataFrame(process_entities(processed_entities))
|
123 |
st.subheader("Tanımlanan Varlıklar")
|
124 |
st.dataframe(df)
|
125 |
|
@@ -129,4 +128,26 @@ if st.button("Çalıştır") and input_text:
|
|
129 |
last_end = 0
|
130 |
for item in text_data:
|
131 |
if item['start'] > last_end:
|
132 |
-
formatted_text += original_text[
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
60 |
|
61 |
pipeline_model = load_pipeline(model_dict[task], task)
|
62 |
|
63 |
+
def process_entities(entities, text):
|
64 |
"""
|
65 |
Varlıkları birleştirip anlamlı bir şekilde düzenler.
|
66 |
"""
|
|
|
68 |
current_entity = None
|
69 |
|
70 |
for entity in entities:
|
71 |
+
if entity['entity'].startswith('I-'):
|
72 |
if current_entity and current_entity['label'] == entity['entity']:
|
73 |
current_entity['word'] += entity['word'].replace('##', '')
|
74 |
current_entity['end'] = entity['end']
|
|
|
104 |
# Process entities
|
105 |
processed_entities = []
|
106 |
for entity in output:
|
107 |
+
word = entity['word']
|
108 |
+
label = entity['entity']
|
109 |
+
score = entity['score']
|
110 |
+
start = entity['start']
|
111 |
+
end = entity['end']
|
112 |
+
processed_entities.append({
|
113 |
+
'word': word,
|
114 |
+
'label': label,
|
115 |
+
'score': score,
|
116 |
+
'start': start,
|
117 |
+
'end': end
|
118 |
+
})
|
|
|
119 |
|
120 |
# Aggregate entities
|
121 |
+
df = pd.DataFrame(process_entities(processed_entities, input_text))
|
122 |
st.subheader("Tanımlanan Varlıklar")
|
123 |
st.dataframe(df)
|
124 |
|
|
|
128 |
last_end = 0
|
129 |
for item in text_data:
|
130 |
if item['start'] > last_end:
|
131 |
+
formatted_text += original_text[last_end:item['start']]
|
132 |
+
word = item['word']
|
133 |
+
label = item['label']
|
134 |
+
score = item['score']
|
135 |
+
if label.startswith('I-PER'):
|
136 |
+
color = 'blue'
|
137 |
+
elif label.startswith('I-MISC'):
|
138 |
+
color = 'green'
|
139 |
+
else:
|
140 |
+
color = 'gray'
|
141 |
+
formatted_text += f"<span style='color:{color}; font-weight: bold;'>{word} ({label}, {score:.2f})</span>"
|
142 |
+
last_end = item['end']
|
143 |
+
if last_end < len(original_text):
|
144 |
+
formatted_text += original_text[last_end:]
|
145 |
+
return formatted_text
|
146 |
+
|
147 |
+
formatted_text = format_text(process_entities(processed_entities, input_text), input_text)
|
148 |
+
st.subheader("Analiz Edilen Metin")
|
149 |
+
st.markdown(f"<p>{formatted_text}</p>", unsafe_allow_html=True)
|
150 |
+
elif task == "Metin Oluşturma":
|
151 |
+
output = pipeline_model(input_text, max_length=100, num_return_sequences=1)
|
152 |
+
st.subheader("Oluşturulan Metin")
|
153 |
+
st.write(output[0]['generated_text'])
|