Update pages/4_AutoEngage.py
Browse files- pages/4_AutoEngage.py +10 -10
pages/4_AutoEngage.py
CHANGED
@@ -72,8 +72,13 @@ if OpenAI_Key:
|
|
72 |
st.write(result_2['output'])
|
73 |
|
74 |
if result_2:
|
75 |
-
st.
|
76 |
-
|
|
|
|
|
|
|
|
|
|
|
77 |
# first initialize the large language model
|
78 |
llm = OpenAI(
|
79 |
temperature=0,
|
@@ -102,17 +107,12 @@ if OpenAI_Key:
|
|
102 |
)
|
103 |
|
104 |
result_3 = count_tokens( conversation_buf,
|
105 |
-
f""" I
|
106 |
-
|
107 |
-
Ensure the json-ld aligns with the ontology framework, and refrain from utilizing any classes not included in the established ontology.
|
108 |
-
|
109 |
{result_2['output']}
|
110 |
"""
|
111 |
)
|
112 |
-
|
113 |
-
|
114 |
-
result_3
|
115 |
-
|
116 |
st.write(result_3)
|
117 |
|
118 |
|
|
|
72 |
st.write(result_2['output'])
|
73 |
|
74 |
if result_2:
|
75 |
+
st.write('Please wait, json-ld description will take a time to load...')
|
76 |
+
|
77 |
+
|
78 |
+
# lets make gpt to digest our ontology, call the 16k to avoid token limit
|
79 |
+
|
80 |
+
|
81 |
+
|
82 |
# first initialize the large language model
|
83 |
llm = OpenAI(
|
84 |
temperature=0,
|
|
|
107 |
)
|
108 |
|
109 |
result_3 = count_tokens( conversation_buf,
|
110 |
+
f""" I will provide you with the deception strategy plan. Please create a json-ld description of the strategy based on the ontology you have learned. The json-ld must comply with the ontology structure. Please do not use classes outside of the given ontology.
|
111 |
+
Strategy:
|
|
|
|
|
112 |
{result_2['output']}
|
113 |
"""
|
114 |
)
|
115 |
+
st.subheader('JSON-LD Description')
|
|
|
|
|
|
|
116 |
st.write(result_3)
|
117 |
|
118 |
|