| 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) | |