Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -27,7 +27,7 @@ def process_resumes(files, candidate_id: str, additional_notes: str = ""):
|
|
| 27 |
partial_records = []
|
| 28 |
raw_texts = []
|
| 29 |
|
| 30 |
-
#
|
| 31 |
for path in files:
|
| 32 |
filepath = str(path)
|
| 33 |
filename = os.path.basename(filepath)
|
|
@@ -41,12 +41,12 @@ def process_resumes(files, candidate_id: str, additional_notes: str = ""):
|
|
| 41 |
text = extract_text_with_openai(raw_bytes, filename=filename, filetype=filetype)
|
| 42 |
else:
|
| 43 |
base_text = load_doc_text(filetype, raw_bytes)
|
| 44 |
-
# 生テキストをOpenAI
|
| 45 |
text = extract_text_with_openai(base_text.encode("utf-8"), filename=filename, filetype="txt")
|
| 46 |
|
| 47 |
raw_texts.append({"filename": filename, "text": text})
|
| 48 |
|
| 49 |
-
# 2)
|
| 50 |
structured = structure_with_openai(text)
|
| 51 |
normalized = normalize_resume({
|
| 52 |
"work_experience": structured.get("work_experience_raw", ""),
|
|
@@ -111,9 +111,10 @@ def process_resumes(files, candidate_id: str, additional_notes: str = ""):
|
|
| 111 |
|
| 112 |
anon_pdf = (result_json["candidate_id"] + ".anon.pdf", anon_pdf_bytes)
|
| 113 |
|
|
|
|
| 114 |
return (
|
| 115 |
json.dumps(result_json, ensure_ascii=False, indent=2),
|
| 116 |
-
json.dumps(skills, ensure_ascii=False, indent=2),
|
| 117 |
json.dumps(score, ensure_ascii=False, indent=2),
|
| 118 |
summaries["300chars"],
|
| 119 |
summaries["100chars"],
|
|
@@ -131,7 +132,7 @@ with gr.Blocks(title=APP_TITLE) as demo:
|
|
| 131 |
label="レジュメ類 (PDF/画像/Word/テキスト) 複数可",
|
| 132 |
file_count="multiple",
|
| 133 |
file_types=[".pdf", ".png", ".jpg", ".jpeg", ".tiff", ".bmp", ".docx", ".txt"],
|
| 134 |
-
type="filepath", # Gradio 4.44
|
| 135 |
)
|
| 136 |
candidate_id = gr.Textbox(label="候補者ID(任意。未入力なら自動生成)")
|
| 137 |
notes = gr.Textbox(label="補足メモ(任意)", lines=3)
|
|
@@ -142,7 +143,7 @@ with gr.Blocks(title=APP_TITLE) as demo:
|
|
| 142 |
out_json = gr.Code(label="統合出力 (JSON)")
|
| 143 |
|
| 144 |
with gr.Tab("抽出スキル"):
|
| 145 |
-
out_skills = gr.Code(label="スキル一覧 (JSON)") # gr.JSON
|
| 146 |
|
| 147 |
with gr.Tab("品質スコア"):
|
| 148 |
out_score = gr.Code(label="品質評価")
|
|
@@ -166,5 +167,9 @@ with gr.Blocks(title=APP_TITLE) as demo:
|
|
| 166 |
|
| 167 |
|
| 168 |
if __name__ == "__main__":
|
| 169 |
-
# Spaces
|
| 170 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 27 |
partial_records = []
|
| 28 |
raw_texts = []
|
| 29 |
|
| 30 |
+
# gr.Files(type="filepath") → files はパスの配列
|
| 31 |
for path in files:
|
| 32 |
filepath = str(path)
|
| 33 |
filename = os.path.basename(filepath)
|
|
|
|
| 41 |
text = extract_text_with_openai(raw_bytes, filename=filename, filetype=filetype)
|
| 42 |
else:
|
| 43 |
base_text = load_doc_text(filetype, raw_bytes)
|
| 44 |
+
# 生テキストをOpenAIへ渡して整形
|
| 45 |
text = extract_text_with_openai(base_text.encode("utf-8"), filename=filename, filetype="txt")
|
| 46 |
|
| 47 |
raw_texts.append({"filename": filename, "text": text})
|
| 48 |
|
| 49 |
+
# 2) 構造化 → 正規化
|
| 50 |
structured = structure_with_openai(text)
|
| 51 |
normalized = normalize_resume({
|
| 52 |
"work_experience": structured.get("work_experience_raw", ""),
|
|
|
|
| 111 |
|
| 112 |
anon_pdf = (result_json["candidate_id"] + ".anon.pdf", anon_pdf_bytes)
|
| 113 |
|
| 114 |
+
# gr.Code に渡すため、JSONはすべて str にして返す
|
| 115 |
return (
|
| 116 |
json.dumps(result_json, ensure_ascii=False, indent=2),
|
| 117 |
+
json.dumps(skills, ensure_ascii=False, indent=2),
|
| 118 |
json.dumps(score, ensure_ascii=False, indent=2),
|
| 119 |
summaries["300chars"],
|
| 120 |
summaries["100chars"],
|
|
|
|
| 132 |
label="レジュメ類 (PDF/画像/Word/テキスト) 複数可",
|
| 133 |
file_count="multiple",
|
| 134 |
file_types=[".pdf", ".png", ".jpg", ".jpeg", ".tiff", ".bmp", ".docx", ".txt"],
|
| 135 |
+
type="filepath", # ★重要:Gradio 4.44 は 'filepath' or 'binary'
|
| 136 |
)
|
| 137 |
candidate_id = gr.Textbox(label="候補者ID(任意。未入力なら自動生成)")
|
| 138 |
notes = gr.Textbox(label="補足メモ(任意)", lines=3)
|
|
|
|
| 143 |
out_json = gr.Code(label="統合出力 (JSON)")
|
| 144 |
|
| 145 |
with gr.Tab("抽出スキル"):
|
| 146 |
+
out_skills = gr.Code(label="スキル一覧 (JSON)") # ★gr.JSON はスキーマ例外のため回避
|
| 147 |
|
| 148 |
with gr.Tab("品質スコア"):
|
| 149 |
out_score = gr.Code(label="品質評価")
|
|
|
|
| 167 |
|
| 168 |
|
| 169 |
if __name__ == "__main__":
|
| 170 |
+
# HF Spaces では share=True は未対応。ローカルでのみ share=True を有効化。
|
| 171 |
+
on_spaces = bool(os.environ.get("SPACE_ID") or os.environ.get("SYSTEM") == "spaces")
|
| 172 |
+
if on_spaces:
|
| 173 |
+
demo.launch(server_name="0.0.0.0", server_port=7860)
|
| 174 |
+
else:
|
| 175 |
+
demo.launch(share=True)
|