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Create app.py
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app.py
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import streamlit as st
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from PIL import Image
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import pytesseract
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import openai
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import io
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# App title and description
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st.set_page_config(page_title="Math Solver from Image", layout="centered")
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st.title("๐งฎ ChatGPT Math Solver from Image")
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st.markdown("""
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Upload an image containing a math problem (handwritten or printed), and this app will:
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1. Extract the text using OCR.
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2. Send it to ChatGPT to solve the problem.
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3. Display the solution below.
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---
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๐ **Steps to use:**
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- Click **Browse files** below to upload an image.
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- Wait a moment for processing.
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- View the OCR result and ChatGPT's solution.
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*Note: Make sure your OpenAI API key is valid.*
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""")
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# Input for API Key
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api_key = st.text_input("๐ Enter your OpenAI API Key", type="password")
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# Image uploader
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uploaded_file = st.file_uploader("๐ท Upload an image with a math problem", type=["png", "jpg", "jpeg"])
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# When an image is uploaded
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if uploaded_file and api_key:
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image = Image.open(uploaded_file)
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st.image(image, caption="Uploaded Image", use_column_width=True)
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with st.spinner("๐ Extracting text from image..."):
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extracted_text = pytesseract.image_to_string(image)
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st.markdown("### ๐ Extracted Text")
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st.code(extracted_text)
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if extracted_text.strip():
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openai.api_key = api_key
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with st.spinner("๐ง Solving with ChatGPT..."):
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try:
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response = openai.ChatCompletion.create(
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model="gpt-4",
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messages=[
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{"role": "system", "content": "You are a math expert."},
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{"role": "user", "content": f"Solve this math problem step by step: {extracted_text}"}
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]
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)
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solution = response["choices"][0]["message"]["content"]
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st.markdown("### โ
Solution")
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st.success(solution)
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except Exception as e:
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st.error(f"Error from OpenAI API: {str(e)}")
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else:
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st.warning("No text was extracted. Please try a clearer image.")
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elif uploaded_file and not api_key:
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st.warning("Please enter your OpenAI API key to proceed.")
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