Delete app.py

app.py

@@ -1,58 +0,0 @@
-import streamlit as st
-from cv_analyzer import analyze_cv
-
-st.set_page_config(page_title="CV Analyzer", layout="wide")
-
-st.title('CV Analyzer')
-
-uploaded_file = st.file_uploader("Choose a CV file", type=['pdf', 'docx', 'txt'])
-
-if uploaded_file is not None:
-    file_content = uploaded_file.read()
-    with st.spinner('Analyzing CV...'):
-        result = analyze_cv(file_content)
-
-    if "error" in result:
-        st.error(result["error"])
-    else:
-        # Personal Information
-        st.header("Personal Information")
-        personal_info = result["personal_info"]
-        st.json(personal_info)
-        st.write(f"Personal Information Score: {personal_info['personal_info_score']}")
-
-        # Detected Sections
-        st.header("Detected Sections")
-        st.write(result["detected_sections"])
-        st.write(f"Section Detection Score: {result['section_detection_score']}")
-
-        # Spelling and Grammar
-        st.header("Spelling and Grammar")
-        error_percentage = 100 - result['spelling_grammar_score']
-        st.write(f"Error Percentage: {error_percentage:.2f}%")
-        st.write(f"Spelling and Grammar Score: {result['spelling_grammar_score']:.2f} / 100")
-
-        # Content Quality Analysis
-        st.header("Content Quality Analysis")
-        for section, evaluation in result['content_analysis'].items():
-            st.subheader(section.capitalize())
-            st.json(evaluation)
-        st.write(f"Overall Content Quality Score: {result['overall_score']:.2f} / 10")
-
-        # Total Score
-        st.header("Total CV Score")
-        total_score = (
-            personal_info['personal_info_score'] +
-            result['section_detection_score'] +
-            result['spelling_grammar_score'] +
-            result['overall_score']
-        )
-        st.write(f"Total Score: {total_score:.2f}")
-
-if __name__ == "__main__":
-    st.sidebar.title("About")
-    st.sidebar.info(
-        "This CV Analyzer extracts personal information, detects sections, "
-        "checks spelling and grammar, analyzes content quality, "
-        "and provides a detailed evaluation of the CV."
-    )