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Update app.py
Browse files
app.py
CHANGED
@@ -25,7 +25,7 @@ def extract_text_from_file(file_obj):
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text = f"Error processing DOCX file: {e}"
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elif ext == ".doc":
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try:
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# textract requires a filename
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with tempfile.NamedTemporaryFile(delete=False, suffix=".doc") as tmp:
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tmp.write(file_obj.read())
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tmp.flush()
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@@ -51,15 +51,18 @@ def extract_basic_resume_info(text):
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Parse the extracted text to summarize basic info:
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- Name
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- Age
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"""
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info = {
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"Name": None,
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"Age": None,
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"
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"
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}
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# Extract Name (e.g., "Name: John Doe")
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@@ -67,7 +70,7 @@ def extract_basic_resume_info(text):
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if name_match:
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info["Name"] = name_match.group(1).strip()
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else:
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#
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potential_names = re.findall(r"\b[A-Z][a-z]+(?:\s+[A-Z][a-z]+){1,2}\b", text)
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if potential_names:
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info["Name"] = potential_names[0]
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@@ -76,21 +79,30 @@ def extract_basic_resume_info(text):
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age_match = re.search(r"[Aa]ge[:\-]\s*(\d{1,2})", text)
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if age_match:
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info["Age"] = age_match.group(1)
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-
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# Extract
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exp_match = re.search(r"(\d+)\s+(years|yrs)\s+(?:of\s+)?experience", text, re.IGNORECASE)
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if exp_match:
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info["
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else:
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#
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exp_line = re.search(r"(Experience|
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if exp_line:
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info["
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# Extract
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return info
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@@ -99,22 +111,28 @@ def extract_basic_resume_info(text):
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#####################################
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def summarize_basic_info(info):
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"""
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"""
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parts = []
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if info.get("Name"):
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parts.append(f"{info['Name']}")
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if info.get("Age"):
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parts.append(f"aged {info['Age']}")
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return summary_paragraph
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#####################################
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@@ -123,22 +141,21 @@ def summarize_basic_info(info):
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def process_resume(file_obj):
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if file_obj is None:
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return None, None
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# Extract text content from the file.
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resume_text = extract_text_from_file(file_obj)
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# Extract
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basic_info = extract_basic_resume_info(resume_text)
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summary_paragraph = summarize_basic_info(basic_info)
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return resume_text, summary_paragraph
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#####################################
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# Streamlit Interface
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#####################################
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st.title("Resume Basic
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st.markdown("""
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Upload your resume file in **.doc** or **.docx** format. The app will extract the content and generate a summary paragraph
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""")
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uploaded_file = st.file_uploader("Upload Resume", type=["doc", "docx"])
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@@ -151,4 +168,7 @@ if st.button("Process Resume"):
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resume_text, summary_paragraph = process_resume(uploaded_file)
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st.subheader("Summary of Basic Information")
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st.markdown(summary_paragraph)
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text = f"Error processing DOCX file: {e}"
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elif ext == ".doc":
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try:
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# textract requires a filename; solve this using a temporary file.
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with tempfile.NamedTemporaryFile(delete=False, suffix=".doc") as tmp:
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tmp.write(file_obj.read())
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tmp.flush()
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Parse the extracted text to summarize basic info:
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- Name
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- Age
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- Job Experience (years or descriptive)
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- Skills
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- Education
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Returns a dictionary with the extracted elements.
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"""
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info = {
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"Name": None,
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"Age": None,
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"Job Experience": None,
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"Skills": None,
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"Education": None,
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}
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# Extract Name (e.g., "Name: John Doe")
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if name_match:
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info["Name"] = name_match.group(1).strip()
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else:
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# Fallback: heuristic, assume the first two or three capitalized words are the candidate name.
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potential_names = re.findall(r"\b[A-Z][a-z]+(?:\s+[A-Z][a-z]+){1,2}\b", text)
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if potential_names:
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info["Name"] = potential_names[0]
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age_match = re.search(r"[Aa]ge[:\-]\s*(\d{1,2})", text)
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if age_match:
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info["Age"] = age_match.group(1)
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# Extract Job Experience (e.g., "5 years of experience")
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exp_match = re.search(r"(\d+)\s+(years|yrs)\s+(?:of\s+)?experience", text, re.IGNORECASE)
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if exp_match:
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info["Job Experience"] = f"{exp_match.group(1)} {exp_match.group(2)}"
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else:
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# Attempt to capture a descriptive work experience line via a labeled section.
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exp_line = re.search(r"(Experience|Work History)[:\-]\s*(.+)", text, re.IGNORECASE)
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if exp_line:
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info["Job Experience"] = exp_line.group(2).strip()
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# Extract Skills (e.g., "Skills: Python, Java, SQL")
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# This is a simple pattern and might require refinement for your resume formats.
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skills_match = re.search(r"(Skills|Technical Skills)[:\-]\s*(.+)", text, re.IGNORECASE)
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if skills_match:
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# Cleanup skills by removing any trailing or extra characters.
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skills_str = skills_match.group(2).strip()
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info["Skills"] = skills_str.rstrip(".")
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# Extract Education (e.g., "Education: B.Sc in Computer Science")
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edu_match = re.search(r"Education[:\-]\s*(.+)", text, re.IGNORECASE)
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if edu_match:
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edu_str = edu_match.group(1).strip()
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info["Education"] = edu_str.rstrip(".")
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return info
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#####################################
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def summarize_basic_info(info):
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"""
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Combine the extracted basic resume information into a cohesive paragraph.
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"""
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parts = []
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if info.get("Name"):
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parts.append(f"Candidate {info['Name']}")
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else:
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parts.append("The candidate")
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if info.get("Age"):
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parts.append(f"aged {info['Age']}")
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if info.get("Job Experience"):
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parts.append(f"with {info['Job Experience']} of work experience")
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if info.get("Skills"):
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parts.append(f"skilled in {info['Skills']}")
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if info.get("Education"):
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parts.append(f"and educated with a background in {info['Education']}")
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summary_paragraph = ", ".join(parts) + "."
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return summary_paragraph
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#####################################
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def process_resume(file_obj):
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if file_obj is None:
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return None, None
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# Extract the full resume text.
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resume_text = extract_text_from_file(file_obj)
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# Extract basic info from the text.
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basic_info = extract_basic_resume_info(resume_text)
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# Create a summary paragraph from the extracted info.
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summary_paragraph = summarize_basic_info(basic_info)
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return resume_text, summary_paragraph
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#####################################
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# Streamlit Interface
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#####################################
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st.title("Resume Basic Information Summary")
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st.markdown("""
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Upload your resume file in **.doc** or **.docx** format. The app will extract the document's content and generate a summary paragraph
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highlighting the candidate’s name, age, job experience, skills, and education.
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""")
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uploaded_file = st.file_uploader("Upload Resume", type=["doc", "docx"])
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resume_text, summary_paragraph = process_resume(uploaded_file)
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st.subheader("Summary of Basic Information")
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st.markdown(summary_paragraph)
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st.subheader("Full Extracted Resume Text")
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st.text_area("", resume_text, height=300)
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