Update app.py

app.py

@@ -1,31 +1,37 @@
 import streamlit as st
-import tempfile
 import os
 from cv_analyzer import analyze_cv
 from cv_quality import CV
+from get_supabase import Supabase
 
 st.set_page_config(page_title="CV Analyzer", layout="wide")
 st.title('CV Analyzer')
 
+# Initialize Supabase client
+supabase_client = Supabase().init_supabase_client()
+
 uploaded_file = st.file_uploader("Choose a CV file", type=['pdf', 'docx', 'txt'])
 
 if uploaded_file is not None:
-    with st.spinner('Analyzing CV...'):
-        # Create a temporary file
-        with tempfile.NamedTemporaryFile(delete=False, suffix=os.path.splitext(uploaded_file.name)[1]) as tmp_file:
-            tmp_file.write(uploaded_file.getvalue())
-            tmp_file_path = tmp_file.name
+    with st.spinner('Uploading and analyzing CV...'):
+        # Upload file to Supabase storage
+        file_path = f"cvs/{uploaded_file.name}"
+        supabase_client.storage.from_("cvs").upload(file_path, uploaded_file.getvalue())
+        
+        # Get the public URL of the uploaded file
+        file_url = supabase_client.storage.from_("cvs").get_public_url(file_path)
 
-        # Create CV object with the temporary file path
-        cv = CV(tmp_file_path)
+        # Create CV object with the file URL
+        cv = CV(file_url)
         result = cv.analyse_cv_quality()
 
-        # Delete the temporary file
-        os.unlink(tmp_file_path)
+        # Optionally, delete the file after analysis
+        # supabase_client.storage.from_("cvs").remove([file_path])
 
     if "error" in result:
         st.error(result["error"])
     else:
+        # Display results (same as before)
         # Personal Information
         st.header("Personal Information")
         personal_info = result["personal_info"]