Spaces:
Sleeping
Sleeping
Commit
·
12a37a6
1
Parent(s):
5ea55bd
Update app.py
Browse files
app.py
CHANGED
@@ -1,37 +1,51 @@
|
|
1 |
-
#
|
2 |
-
#
|
|
|
3 |
|
4 |
import streamlit as st
|
5 |
-
|
6 |
-
|
7 |
from langchain.llms import OpenAI
|
8 |
|
9 |
-
#
|
|
|
|
|
|
|
|
|
10 |
def load_answer(question):
|
11 |
-
llm = OpenAI(model_name="text-davinci-003",temperature=0)
|
12 |
-
answer=llm(question)
|
13 |
return answer
|
14 |
|
|
|
|
|
|
|
15 |
|
16 |
-
#
|
17 |
st.set_page_config(page_title="Langchain Prototype", page_icon=":robot:")
|
|
|
|
|
18 |
st.header("LLM App 1")
|
19 |
|
20 |
-
#
|
21 |
def get_text():
|
22 |
input_text = st.text_input("You: ", key="input")
|
23 |
return input_text
|
24 |
|
|
|
|
|
25 |
|
26 |
-
|
27 |
response = load_answer(user_input)
|
28 |
|
|
|
29 |
submit = st.button('Generate')
|
30 |
|
31 |
-
#
|
32 |
if submit:
|
33 |
-
|
34 |
st.subheader("Answer:")
|
35 |
-
|
36 |
st.write(response)
|
37 |
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# -----------------------------------------
|
2 |
+
# LIBRARY IMPORTS AND INTRODUCTION
|
3 |
+
# -----------------------------------------
|
4 |
|
5 |
import streamlit as st
|
|
|
|
|
6 |
from langchain.llms import OpenAI
|
7 |
|
8 |
+
# -----------------------------------------
|
9 |
+
# FUNCTION DEFINITIONS
|
10 |
+
# -----------------------------------------
|
11 |
+
|
12 |
+
# This function uses the "text-davinci-003" model to generate a response to a given question.
|
13 |
def load_answer(question):
|
14 |
+
llm = OpenAI(model_name="text-davinci-003", temperature=0)
|
15 |
+
answer = llm(question)
|
16 |
return answer
|
17 |
|
18 |
+
# -----------------------------------------
|
19 |
+
# STREAMLIT UI CONFIGURATION
|
20 |
+
# -----------------------------------------
|
21 |
|
22 |
+
# Set the Streamlit page title and icon.
|
23 |
st.set_page_config(page_title="Langchain Prototype", page_icon=":robot:")
|
24 |
+
|
25 |
+
# Display a header for the application.
|
26 |
st.header("LLM App 1")
|
27 |
|
28 |
+
# Function to get text input from the user.
|
29 |
def get_text():
|
30 |
input_text = st.text_input("You: ", key="input")
|
31 |
return input_text
|
32 |
|
33 |
+
# Get the user input.
|
34 |
+
user_input = get_text()
|
35 |
|
36 |
+
# Fetch the response from the LLM.
|
37 |
response = load_answer(user_input)
|
38 |
|
39 |
+
# Display a button on the Streamlit page.
|
40 |
submit = st.button('Generate')
|
41 |
|
42 |
+
# Actions for when the 'Generate' button is clicked.
|
43 |
if submit:
|
|
|
44 |
st.subheader("Answer:")
|
|
|
45 |
st.write(response)
|
46 |
|
47 |
+
# -----------------------------------------
|
48 |
+
# END OF STREAMLIT APPLICATION
|
49 |
+
# -----------------------------------------
|
50 |
+
|
51 |
+
|