Create app.py

app.py

@@ -0,0 +1,46 @@
+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:
+    with st.spinner('Analyzing CV...'):
+        result = analyze_cv(uploaded_file)
+
+    if "error" in result:
+        st.error(result["error"])
+    else:
+        st.header("Detected Sections")
+        st.write(result["detected_sections"])
+
+        st.header("Section Detection Score")
+        st.write(f"Score: {result['section_detection_score']}")
+
+        st.header("Overall Content Quality Score")
+        st.write(f"Score: {result['overall_score']:.2f} / 10")
+
+        st.header("Content Quality Analysis")
+        for section, evaluation in result['content_analysis'].items():
+            st.subheader(section.capitalize())
+            st.json(evaluation)
+
+        st.header("Spelling and Grammar")
+        st.write(f"Score: {result['spelling_grammar_score']}")
+
+        st.header("Personal Information")
+        st.json(result['personal_info'])
+
+        st.header("Completeness Analysis")
+        st.json(result['completeness_analysis'])
+
+if __name__ == "__main__":
+    st.sidebar.title("About")
+    st.sidebar.info(
+        "This CV Analyzer detects sections, calculates section detection and content quality scores, "
+        "checks spelling and grammar, analyzes personal information, assesses completeness, "
+        "and provides a detailed content analysis."
+    )