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import streamlit as st
from langchain import OpenAI
from langchain.chains import LLMChain
from langchain.prompts import ChatPromptTemplate
import os
os.environ["OPENAI_API_KEY"] = os.getenv("k1")
llm = OpenAI(api_key = os.environ["OPENAI_API_KEY"],model="gpt-3.5", temperature=0)
st.title("Summarization Application :robot_face:")
options = ["English", "Telugu", "Hindi", "French", "German", "Russian", "Spanish"]
input_language = st.selectbox("Input Language: ", options)
text = st.text_area("Text Input: ")
if st.button("Submit"):
prompt = ChatPromptTemplate.from_messages([("system", "You are an expert summarizer for {lang} texts."),
("human", "{text}")])
chain = LLMChain(prompt=prompt, llm=llm)
response = chain.run({"lang": input_language, "text": text})
st.write("Summary: ")
st.write(response)
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