Spaces:
Running
Running
app.py and Requirements added
Browse files- app.py +38 -0
- requirements.txt +5 -0
app.py
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Q&A ChatBot
|
2 |
+
|
3 |
+
# Using langenv here
|
4 |
+
from langchain.llms import OpenAI
|
5 |
+
|
6 |
+
#from dotenv import load_dotenv
|
7 |
+
|
8 |
+
#load_dotenv() # take environment variables from .env
|
9 |
+
|
10 |
+
import streamlit as st
|
11 |
+
import os
|
12 |
+
|
13 |
+
## Function to load OpenAI model and get responses
|
14 |
+
|
15 |
+
def get_openai_response(question):
|
16 |
+
llm = OpenAI(
|
17 |
+
#model_name="gpt-3.5-turbo-instruct",
|
18 |
+
temperature=0.5)
|
19 |
+
|
20 |
+
response = llm(question)
|
21 |
+
return response
|
22 |
+
|
23 |
+
## initialize our streamlit app
|
24 |
+
|
25 |
+
st.set_page_config(page_title = "Q&A Demo")
|
26 |
+
|
27 |
+
st.header("Langchain Application")
|
28 |
+
|
29 |
+
input = st.text_input("Input: ", key="input")
|
30 |
+
response = get_openai_response(input)
|
31 |
+
|
32 |
+
submit = st.button("Ask the question")
|
33 |
+
|
34 |
+
## If ask button is clicked
|
35 |
+
|
36 |
+
if submit:
|
37 |
+
st.subheader("The Response is")
|
38 |
+
st.write(response)
|
requirements.txt
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
langchain
|
2 |
+
openai
|
3 |
+
huggingface_hub
|
4 |
+
python-dotenv
|
5 |
+
streamlit
|