Update app.py

app.py

@@ -1,19 +1,53 @@
 import streamlit as st
 import tl_calamancy_lg
 import os
+import os
+import pandas as pd
+import json
 
 # Get the absolute path of the script directory
 cwd = os.getcwd()
 
 # Read the CSV file
-csv_path = os.path.join(cwd, "dataset_v2.json")
-
-st.title("TagaCare")
-
-nlp = tl_calamancy_lg.load()
-
-doc1 = nlp("Pano gamutin ang sakit sa ngipin")
-
-st.success(doc1)
-
-
+file_path = os.path.join(cwd, "dataset_v2.json")
+
+# Open the JSON file
+with open(file_path, 'r') as file:
+    # Load the JSON data
+    data = json.load(file)
+
+# Extract patterns and responses into separate lists
+patterns_data = []
+responses_data = []
+
+for intent in data["intents"]:
+    tag = intent["tag"]
+    patterns = intent.get("patterns", [])
+    responses = intent.get("responses", [])
+
+    for pattern in patterns:
+        patterns_data.append({"tag": tag, "pattern": pattern})
+
+    for response in responses:
+        responses_data.append({"tag": tag, "response": response})
+
+# Create DataFrames
+patterns_df = pd.DataFrame(patterns_data)
+responses_df = pd.DataFrame(responses_data)
+
+def main():
+    # StreamLit Title
+    st.title("TagaCare")
+    
+    nlp = tl_calamancy_lg.load()
+    
+    doc1 = nlp("Pano gamutin ang sakit sa ngipin")
+    
+    st.success(doc1)
+    
+    for data in patterns_data:
+        st.write(data)
+    
+
+if __name__ == "__main__":
+    main()