Delete app.py

app.py

@@ -1,96 +0,0 @@
-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()