Update app.py

app.py

@@ -76,7 +76,7 @@ def set_custom_css():
 
 def get_docparser_data(file, api_key, parser_id) -> Optional[dict]:
     upload_url = f"https://api.docparser.com/v1/document/upload/{parser_id}"
-    auth = (api_key, '')  # Use HTTP Basic Auth with the API key
+    auth = (api_key, '')  # Use HTTP Basic Auth with the API key as username and empty password
     files = {'file': file}
     try:
         # Upload the document
@@ -379,7 +379,7 @@ def main():
     choice = st.sidebar.selectbox("Menu", menu)
 
     if choice == "Home":
-        analysis_type = st.selectbox("Select Analysis Type:", ["Single Resume", "Multiple Resumes"])
+        analysis_type = st.selectbox("Select Analysis Type:", ["Single Resume", "Folder Upload"])
         method_choice = st.selectbox("Select Method:", ["Use LLM", "Use Field Extraction"])
 
         openai_key = None  # Initialize openai_key
@@ -425,7 +425,7 @@ def main():
                     else:
                         st.warning("Failed to process the resume.")
 
-        elif analysis_type == "Multiple Resumes":
+        elif analysis_type == "Folder Upload":
             uploaded_files = st.file_uploader("Upload multiple resume PDF files", type="pdf", accept_multiple_files=True)
 
             if st.button("Analyze Resumes"):
@@ -452,7 +452,7 @@ def main():
 
         with st.expander("ℹ️ How to use"):
             st.markdown("""
-            1. Select the analysis type: Single Resume or Multiple Resumes.
+            1. Select the analysis type: Single Resume or Folder Upload.
             2. Choose the method: Use LLM or Use Field Extraction.
             3. If using LLM, enter the OpenAI API key.
             4. If using Field Extraction, enter the Docparser API key and Parser ID.