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app.py
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import streamlit as st
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x = st.slider('Select a value')
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st.write(x, 'squared is', x * x)
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import streamlit as st
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from pydantic_ai import Agent
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from pydantic_ai.models.groq import GroqModel
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import nest_asyncio
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import pdfplumber
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import os
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api_key = os.getenv("API_KEY")
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data = []
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#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
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model = GroqModel('llama-3.1-70b-versatile', api_key = api_key)
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def extract_data(feed):
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with pdfplumber.load(feed) as pdf:
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pages = pdf.pages
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for p in pages:
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data.append(p.extract_tables())
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return None
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uploaded_file = st.file_uploader('Choose your .pdf file', type="pdf")
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if uploaded_file is not None:
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df = extract_data(uploaded_file)
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if data is not None:
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st.caption(data)
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