initial commit

app.py

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+import streamlit as st
+from tablecv import extract_table
+
+img_name = st.file_uploader("Upload an image with table(s)")
+if img_name is not None:
+   st.image(img_name)
+   extracted_tables = extract_table(image_path=img_name)
+
+   @st.experimental_memo
+   def convert_df(df):
+      return df.to_csv(index=False).encode('utf-8')
+
+
+   csv = convert_df(extracted_tables)
+   st.table(extracted_tables)
+   st.download_button(
+      "Press to Download",
+      csv,
+      "file.csv",
+      "text/csv",
+      key='download-csv'
+   )

requirements.txt

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+beautifulsoup4==4.12.3
+camelot_py==0.11.0
+fastapi==0.110.0
+fuzzywuzzy==0.18.0
+img2table==1.2.11
+numpy==1.26.4
+opencv_contrib_python==4.5.4.60
+opencv_python==4.5.4.60
+opencv_python_headless==4.5.4.60
+pandas==2.2.1
+PyMuPDF==1.20.2
+python_doctr==0.8.0
+Requests==2.31.0
+streamlit==1.31.1
+tablecv==0.1.1
+ultralytics==8.1.20
+uvicorn==0.29.0