Create app.py

app.py

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+import streamlit as st
+import re
+import spacy
+
+# Load the spaCy English model
+nlp = spacy.load("en_core_web_sm")
+
+def extract_entities(text):
+    # Using spaCy for Named Entity Recognition (NER) to extract names
+    doc = nlp(text)
+    names = [ent.text for ent in doc.ents if ent.label_ == "PERSON"]
+
+    # Using regex to find Pakistani phone numbers
+    phone_numbers = re.findall(r'\+\d{2,3}\d{9,12}\b', text)
+
+    # Using regex to find emails
+    emails = re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', text)
+
+    return names, phone_numbers, emails
+
+def display_extracted_info(names, phone_numbers, emails):
+    if names:
+        st.subheader("👤 Extracted Names:")
+        for name in names:
+            st.write(f"- {name}")
+    else:
+        st.info("No names found.")
+
+    if phone_numbers:
+        st.subheader("📞 Extracted Pakistani Phone Numbers:")
+        for phone in phone_numbers:
+            st.write(f"- {phone}")
+    else:
+        st.info("No Pakistani phone numbers found.")
+
+    if emails:
+        st.subheader("✉️ Extracted Emails:")
+        for email in emails:
+            st.write(f"- {email}")
+    else:
+        st.info("No emails found.")
+
+def main():
+    st.title("🔍 Resume Information Extractor")
+    apply_custom_styles()
+
+    st.write("Enter resume text below to extract information.")
+
+    input_text = st.text_area("Paste your resume text here:", height=200)
+
+    if st.button("Extract"):
+        if input_text:
+            st.markdown("---")
+            st.header("📄 Extracted Information")
+
+            names, phone_numbers, emails = extract_entities(input_text)
+            display_extracted_info(names, phone_numbers, emails)
+        else:
+            st.warning("Please enter some text to extract entities.")
+
+        # Add a "Clear" button to reset the input text area
+        if st.button("Clear"):
+            st.text_area("Paste your resume text here:", value="", height=200)
+
+def apply_custom_styles():
+    st.markdown(
+        """
+        <style>
+        body {
+            background-color: #f5f5f5; /* Light gray background */
+            color: #333333; /* Dark gray text */
+        }
+        .stTextInput textarea {
+            background-color: #ffffff; /* White text area */
+            color: #333333; /* Dark gray text in text area */
+            border: 2px solid #d9d9d9; /* Light gray border */
+        }
+        .stButton button {
+            background-color: #F16623; /* Orange button */
+            color: #ffffff; /* White text on the button */
+        }
+        .stButton button:hover {
+            background-color: #e55c1e; /* Darker orange on hover */
+        }
+        .st-info {
+            background-color: #e6f7ff; /* Light blue info box */
+            color: #004085; /* Dark blue text in info box */
+            border: 1px solid #b8daff; /* Light blue border */
+        }
+        </style>
+        """,
+        unsafe_allow_html=True,
+    )
+
+if __name__ == "__main__":
+    main()