Spaces:
Sleeping
Sleeping
Chandranshu Jain
commited on
Commit
•
4c038d7
1
Parent(s):
2352722
Upload 4 files
Browse files
.env
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
OPEN_API_KEY="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"
|
app.py
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Q&A Chatbot
|
2 |
+
from langchain_openai import OpenAI
|
3 |
+
|
4 |
+
from dotenv import load_dotenv
|
5 |
+
|
6 |
+
load_dotenv() # take environment variables from .env.
|
7 |
+
|
8 |
+
import streamlit as st
|
9 |
+
import os
|
10 |
+
|
11 |
+
|
12 |
+
## Function to load OpenAI model and get respones
|
13 |
+
|
14 |
+
def get_openai_response(question):
|
15 |
+
llm=OpenAI(openai_api_key=os.environ["OPEN_API_KEY"],temperature=0.5)
|
16 |
+
response=llm.invoke(question)
|
17 |
+
return response
|
18 |
+
|
19 |
+
##initialize our streamlit app
|
20 |
+
|
21 |
+
st.set_page_config(page_title="Q&A Chatbot")
|
22 |
+
|
23 |
+
st.header("Q&A Chatbot")
|
24 |
+
|
25 |
+
input=st.text_input("Question: ",key="input")
|
26 |
+
response=get_openai_response(input)
|
27 |
+
|
28 |
+
submit=st.button("Answer")
|
29 |
+
|
30 |
+
## If ask button is clicked
|
31 |
+
|
32 |
+
if submit:
|
33 |
+
st.subheader("The Answer is")
|
34 |
+
st.write(response)
|
app2.py
ADDED
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Q&A Chatbot
|
2 |
+
from langchain_openai import OpenAI
|
3 |
+
|
4 |
+
from dotenv import load_dotenv
|
5 |
+
|
6 |
+
load_dotenv() # take environment variables from .env.
|
7 |
+
|
8 |
+
import streamlit as st
|
9 |
+
import os
|
10 |
+
|
11 |
+
from langchain.prompts import PromptTemplate
|
12 |
+
from langchain.chains import LLMChain
|
13 |
+
from langchain.chains import SequentialChain
|
14 |
+
|
15 |
+
|
16 |
+
## Function to load OpenAI model and get respones
|
17 |
+
|
18 |
+
def get_openai_response(country_name):
|
19 |
+
llm=OpenAI(openai_api_key=os.environ["OPEN_API_KEY"],temperature=0.5)
|
20 |
+
capital_template=PromptTemplate(input_variables=['country'],
|
21 |
+
template="Please tell me the capital of the {country}")
|
22 |
+
capital_chain=LLMChain(llm=llm,prompt=capital_template,output_key="capital")
|
23 |
+
|
24 |
+
famous_template=PromptTemplate(input_variables=['capital'],
|
25 |
+
template="Suggest me some amazing places to visit in {capital}")
|
26 |
+
famous_chain=LLMChain(llm=llm,prompt=famous_template,output_key="places")
|
27 |
+
|
28 |
+
eats_template=PromptTemplate(input_variables=['capital'],
|
29 |
+
template="Suggest the top 5 famous dishes to eat in {capital}")
|
30 |
+
eats_chain=LLMChain(llm=llm,prompt=eats_template,output_key="dishes")
|
31 |
+
|
32 |
+
chain=SequentialChain(chains=[capital_chain,famous_chain,eats_chain],
|
33 |
+
input_variables=['country'],
|
34 |
+
output_variables=['capital',"places","dishes"])
|
35 |
+
|
36 |
+
response=chain.invoke({'country':country_name})
|
37 |
+
return response
|
38 |
+
|
39 |
+
##initialize our streamlit app
|
40 |
+
|
41 |
+
st.set_page_config(page_title="Q&A Chatbot")
|
42 |
+
|
43 |
+
st.header("January Capital Guide")
|
44 |
+
|
45 |
+
input=st.text_input("Enter Country Name: ",key="input")
|
46 |
+
response=get_openai_response(input)
|
47 |
+
|
48 |
+
submit=st.button("Answer")
|
49 |
+
|
50 |
+
## If ask button is clicked
|
51 |
+
|
52 |
+
if submit:
|
53 |
+
st.subheader("The Answer is")
|
54 |
+
st.write(response)
|
requirements.txt
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
langchain
|
2 |
+
openai
|
3 |
+
streamlit
|
4 |
+
huggingface_hub
|
5 |
+
python-dotenv
|