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Merge pull request #2 from StateLibraryVictoria/export-file-fixes
Browse files- .github/workflows/deploy-to-hf-dev.yml +1 -1
- .github/workflows/deploy-to-hf-prod.yml +1 -1
- app.py +13 -5
.github/workflows/deploy-to-hf-dev.yml
CHANGED
@@ -17,6 +17,6 @@ jobs:
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lfs: true
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- name: Push to hub
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env:
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-
HF_TOKEN: ${{ secrets.
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run: git push https://HF_USERNAME:$HF_TOKEN@huggingface.co/spaces/sotirios-slv/theatre-programmer-dev main
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lfs: true
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- name: Push to hub
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env:
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+
HF_TOKEN: ${{ secrets.HF_DEV_TOKEN }}
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run: git push https://HF_USERNAME:$HF_TOKEN@huggingface.co/spaces/sotirios-slv/theatre-programmer-dev main
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.github/workflows/deploy-to-hf-prod.yml
CHANGED
@@ -17,4 +17,4 @@ jobs:
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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-
run: git push https://HF_USERNAME:$HF_TOKEN@huggingface.co/spaces/sotirios-slv/theatre-programmer main
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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+
run: git push https://HF_USERNAME:$HF_TOKEN@huggingface.co/spaces/sotirios-slv/theatre-programmer main
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app.py
CHANGED
@@ -36,7 +36,10 @@ def get_named_entities(ocr_text: str):
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def run(image, lang="eng"):
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print("Image ", image)
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-
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result = pytesseract.image_to_string(image, lang=None if lang == [] else lang)
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ner = get_named_entities(result)
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@@ -52,13 +55,18 @@ def download_output(ocr_text: str, named_entities: str, image_name="test"):
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output_file = f"{image_name}_{datetime_now}.xlsx"
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ocr_df = pd.Series(ocr_text)
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-
print("OCR ", ocr_df)
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ner_df = pd.Series(named_entities_list)
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print("NER ", ner_df)
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with pd.ExcelWriter(output_file) as writer:
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ocr_df.to_excel(
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-
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return output_file
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except Exception as e:
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def run(image, lang="eng"):
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print("Image ", image)
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try:
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print("Image filename ", image.filename)
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except:
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print("Could not print image filename")
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result = pytesseract.image_to_string(image, lang=None if lang == [] else lang)
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ner = get_named_entities(result)
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output_file = f"{image_name}_{datetime_now}.xlsx"
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ocr_df = pd.Series(ocr_text)
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ner_df = pd.Series(named_entities_list)
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with pd.ExcelWriter(output_file) as writer:
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ocr_df.to_excel(
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writer, sheet_name="OCR text", columns=["OCR text"], index=False
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)
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ner_df.to_excel(
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writer,
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sheet_name="Named entities",
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columns=["Named entities"],
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index=False,
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)
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return output_file
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except Exception as e:
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