doc download added
Browse files
app.py
CHANGED
@@ -104,11 +104,17 @@ def main():
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image = Image.open(image)
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# Draw bounding boxes and labels
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image_with_boxes = draw_bounding_boxes_for_textract(
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st.success("Bounding boxes drawn.")
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# Display annotated image
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st.image(
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except:
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st.warning("Check textract output!")
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@@ -130,6 +136,42 @@ def main():
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with st.spinner("Wait for it..."):
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st.write(text_from_response)
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# Text input for the question
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input_prompt = st.text_input(
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"Type your question here:",
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image = Image.open(image)
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# Draw bounding boxes and labels
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image_with_boxes = draw_bounding_boxes_for_textract(
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image.copy(), result_dict
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)
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st.success("Bounding boxes drawn.")
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# Display annotated image
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st.image(
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image_with_boxes,
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caption="Annotated Image",
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use_column_width=True,
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)
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except:
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st.warning("Check textract output!")
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with st.spinner("Wait for it..."):
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st.write(text_from_response)
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with st.spinner("Processing csv to download..."):
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try:
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keys = ["First Name", "Last Name", "Policy Number"]
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values = []
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for k in keys:
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updated_text_from_response = call_gemini_api(
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image_base64,
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api_key,
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prompt=f"What is {k} in this document?",
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)
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value = updated_text_from_response["candidates"][0][
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"content"
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]["parts"][0]["text"]
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values.append(value)
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# Create dataframe to download
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sample_payload_output = pd.DataFrame(
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{"Key": keys, "Values": values}
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)
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# Convert DataFrame to CSV
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csv = sample_payload_output.to_csv(index=False)
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# To convert to CSV and encode for the download link
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csv = sample_payload_output.to_csv(index=False).encode("utf-8")
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# Streamlit download button
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st.download_button(
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label="Download data as CSV",
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data=csv,
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file_name="data.csv",
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mime="text/csv",
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)
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except:
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st.warning("Please verify document source.")
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# Text input for the question
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input_prompt = st.text_input(
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"Type your question here:",
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