Update app.py

app.py

@@ -51,8 +51,9 @@ def extract_basic_resume_info(text):
     Parse the extracted text to summarize basic info:
     - Name
     - Age
-    - Work Experience (e.g., number of years or description)
+    - Work Experience
     - Expected Industry/Direction
+    Returns a dictionary of extracted data.
     """
     info = {
         "Name": None,
@@ -61,71 +62,93 @@ def extract_basic_resume_info(text):
         "Expected Industry/Direction": None,
     }
 
-    # Try to extract Name (e.g., lines like "Name: John Doe")
+    # Extract Name (e.g., "Name: John Doe")
     name_match = re.search(r"[Nn]ame[:\-]\s*([A-Za-z\s]+)", text)
     if name_match:
         info["Name"] = name_match.group(1).strip()
     else:
-        # Fallback: Look for a potential name (heuristic: two or three capitalized words)
+        # Heuristic: search for a line with two or three capitalized words.
         potential_names = re.findall(r"\b[A-Z][a-z]+(?:\s+[A-Z][a-z]+){1,2}\b", text)
         if potential_names:
             info["Name"] = potential_names[0]
 
-    # Extract Age (assuming a line like "Age: 28")
+    # Extract Age (e.g., "Age: 28")
     age_match = re.search(r"[Aa]ge[:\-]\s*(\d{1,2})", text)
     if age_match:
         info["Age"] = age_match.group(1)
 
-    # Extract Work Experience (e.g., "5 years of experience" or "Experience: 5 years in...")
+    # Extract Work Experience (e.g., "5 years of experience")
     exp_match = re.search(r"(\d+)\s+(years|yrs)\s+(?:of\s+)?experience", text, re.IGNORECASE)
     if exp_match:
         info["Work Experience"] = f"{exp_match.group(1)} {exp_match.group(2)}"
     else:
-        # Look for a line that has work experience info
+        # Fallback: look for overall experience information.
         exp_line = re.search(r"(Experience|Background)[:\-]\s*(.*)", text, re.IGNORECASE)
         if exp_line:
             info["Work Experience"] = exp_line.group(2).strip()
 
-    # Extract Expected Industry/Direction 
-    # (e.g., "Interest: Software Development" or "Expected Industry: Healthcare")
+    # Extract Expected Industry/Direction
     industry_match = re.search(r"(Industry|Interest|Direction)[:\-]\s*(.+)", text, re.IGNORECASE)
     if industry_match:
         info["Expected Industry/Direction"] = industry_match.group(2).strip()
 
     return info
 
+#####################################
+# Function: Summarize Basic Info into a Paragraph
+#####################################
+def summarize_basic_info(info):
+    """
+    Create a paragraph summary from the basic resume information.
+    """
+    parts = []
+    if info.get("Name"):
+        parts.append(f"{info['Name']}")
+    if info.get("Age"):
+        parts.append(f"aged {info['Age']}")
+    if info.get("Work Experience"):
+        parts.append(f"with {info['Work Experience']} of work experience")
+    if info.get("Expected Industry/Direction"):
+        parts.append(f"seeking opportunities in {info['Expected Industry/Direction']}")
+
+    if parts:
+        summary_paragraph = "The candidate is " + ", ".join(parts) + "."
+    else:
+        summary_paragraph = "Basic information could not be extracted from the resume."
+    return summary_paragraph
+
 #####################################
 # Main Resume Processing Logic
 #####################################
 def process_resume(file_obj):
     if file_obj is None:
         return None, None
+    
     # Extract text content from the file.
     resume_text = extract_text_from_file(file_obj)
-    # Extract summarized basic info from the resume text.
+    # Extract and summarize basic info.
     basic_info = extract_basic_resume_info(resume_text)
-    return resume_text, basic_info
+    summary_paragraph = summarize_basic_info(basic_info)
+    
+    return resume_text, summary_paragraph
 
 #####################################
 # Streamlit Interface
 #####################################
-st.title("Resume Summary App")
+st.title("Resume Basic Info Summary")
 st.markdown("""
-Upload your resume file (supported formats: **.doc** or **.docx**) to extract and summarize its content.
-The basic details, including name, age, work experience, and expected industry, will be displayed along with the full text content.
+Upload your resume file in **.doc** or **.docx** format. The app will extract the content and generate a summary paragraph
+that highlights the candidate's basic information (name, age, work experience, and expected industry/direction).
 """)
 
 uploaded_file = st.file_uploader("Upload Resume", type=["doc", "docx"])
 
-if st.button("Extract Information"):
+if st.button("Process Resume"):
     if uploaded_file is None:
         st.error("Please upload a file first.")
     else:
-        with st.spinner("Extracting information..."):
-            resume_text, resume_info = process_resume(uploaded_file)
-
-        st.subheader("Extracted Resume Text")
-        st.text_area("", resume_text, height=300)
+        with st.spinner("Processing resume..."):
+            resume_text, summary_paragraph = process_resume(uploaded_file)
 
-        st.subheader("Basic Resume Information")
-        st.json(resume_info)
+        st.subheader("Summary of Basic Information")
+        st.markdown(summary_paragraph)