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requirements.txt

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+langchain-community
+llms
+PIL
+numpy
+dotenv
+streamlit
+easyocr
+os

summarize.py

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+from langchain_community.llms import OpenAI
+import os
+import PIL
+import numpy as np
+from PIL import Image, ImageDraw
+from dotenv import load_dotenv
+load_dotenv()
+import streamlit as st
+import easyocr
+from langchain.prompts import PromptTemplate
+st.header("Summarizer")
+reader = easyocr.Reader(['en'])
+uploaded_file=st.file_uploader("Upload image:")
+llm=OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"),temperature=0.7)
+pt=PromptTemplate(input_variables=["text"],template="Read the following text: {text} and give the important points in the form of bullet points. ")
+from langchain.chains import LLMChain
+chain=LLMChain(llm=llm,prompt=pt)
+if uploaded_file is not None:
+    image = Image.open(uploaded_file)
+    st.image(image)
+    result = reader.readtext(np.array(image), detail = 0)
+    st.subheader("OCR result:")
+    st.write(result)
+    st.subheader("Summary: ")
+    st.write(chain.invoke(result)["text"])