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app.py
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@@ -1,15 +1,15 @@
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import cv2
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import numpy as np
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import google.generativeai as genai
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import os
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import streamlit as st
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from PIL import Image
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from streamlit_drawable_canvas import st_canvas
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from langchain.chat_models import ChatGoogleGenerativeAI
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from langchain.schema import HumanMessage
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# Set up environment variables and configurations
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genai.configure(api_key=os.
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def main():
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st.title("Virtual Math Calculator")
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with open(drawing_path, 'rb') as img_file:
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image_content = img_file.read()
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message = HumanMessage(
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content=
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)
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response = llm.invoke([message]).content
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return response
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import cv2
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import numpy as np
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import google.generativeai as genai
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from langchain_core.messages import HumanMessage
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from langchain_google_genai import ChatGoogleGenerativeAI
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import os
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import streamlit as st
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from PIL import Image
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from streamlit_drawable_canvas import st_canvas
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# Set up environment variables and configurations
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genai.configure(api_key=os.environ['GOOGLE_API_KEY'])
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def main():
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st.title("Virtual Math Calculator")
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with open(drawing_path, 'rb') as img_file:
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image_content = img_file.read()
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message = HumanMessage(
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content=[
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{
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"type": "text",
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"text": "Give me the answer of any mathematical representation in the image with the complete solution, and does not say the image contains etc.",
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},
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{"type": "image", "image": image_content},
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]
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)
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response = llm.invoke([message]).content
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return response
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