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Upload app.py
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app.py
CHANGED
@@ -12,59 +12,60 @@ os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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def process_resumes(job_description, uploaded_files):
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if not job_description.strip():
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return "Please provide a job description.", None
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resume_texts = []
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for uploaded_file in uploaded_files:
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if
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uploaded_file.seek(0)
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#
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# uploaded_file is probably a NamedString (str-like)
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# Gradio provides the filename differently in this case,
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# so you might have to assign a default or get from UI
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content = uploaded_file
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filepath = None
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filename = "unknown"
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# Process content depending on extension
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if filename.endswith(".txt") or (filepath and filepath.endswith(".txt")):
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text = content.decode("utf-8") if isinstance(content, bytes) else content
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elif filename.endswith(".pdf") or (filepath and filepath.endswith(".pdf")):
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# If saved to file, open from file
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if filepath:
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import pdfplumber
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with pdfplumber.open(filepath) as pdf:
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pages = [page.extract_text() for page in pdf.pages if page.extract_text()]
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text = "\n".join(pages)
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else:
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# No file saved, cannot process PDF bytes easily here
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return "Please upload PDF files via file upload.", None
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elif filename.endswith(".docx") or (filepath and filepath.endswith(".docx")):
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if filepath:
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from docx import Document
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doc = Document(filepath)
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text = "\n".join([p.text for p in doc.paragraphs])
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else:
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return "
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else:
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return f"Unsupported file format: {filename}", None
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resume_texts.append((filename, text))
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#
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results = rank_resumes(job_description, resume_texts)
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# Generate summaries
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for candidate in results:
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candidate["summary"] = summarize_resume_flan(candidate["text"], job_description)
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def process_resumes(job_description, uploaded_files):
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if not job_description.strip():
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return "Please provide a job description.", None
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if not uploaded_files:
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return "Please upload at least one resume file.", None
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resume_texts = []
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for uploaded_file in uploaded_files:
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filename = getattr(uploaded_file, "name", None)
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if filename is None:
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return "One of the uploaded files is missing a filename. Please upload files, not text.", None
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# Reset file pointer
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if hasattr(uploaded_file, "seek"):
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uploaded_file.seek(0)
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# Process based on extension
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ext = filename.lower().split(".")[-1]
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if ext == "txt":
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# Read text directly
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if hasattr(uploaded_file, "read"):
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content = uploaded_file.read()
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# bytes? decode
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text = content.decode("utf-8") if isinstance(content, bytes) else content
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else:
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return f"Unexpected content for {filename}", None
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elif ext == "pdf":
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# Save temporarily to disk to use pdfplumber (which needs a file path)
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temp_path = os.path.join(UPLOAD_FOLDER, filename)
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with open(temp_path, "wb") as f:
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f.write(uploaded_file.read())
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import pdfplumber
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with pdfplumber.open(temp_path) as pdf:
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pages = [page.extract_text() for page in pdf.pages if page.extract_text()]
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text = "\n".join(pages)
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elif ext == "docx":
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# Save temporarily to disk for python-docx
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temp_path = os.path.join(UPLOAD_FOLDER, filename)
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with open(temp_path, "wb") as f:
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f.write(uploaded_file.read())
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from docx import Document
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doc = Document(temp_path)
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text = "\n".join([p.text for p in doc.paragraphs])
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else:
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return f"Unsupported file format: {filename}", None
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resume_texts.append((filename, text))
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# Rank resumes and generate summaries
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results = rank_resumes(job_description, resume_texts)
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for candidate in results:
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candidate["summary"] = summarize_resume_flan(candidate["text"], job_description)
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