Update app.py

app.py

@@ -84,7 +84,7 @@ def process_files(specialty_codes, specific_state='MN'):
     file_to_process = f'./{specific_state}.csv' if use_specific_state else state_files
     
     for file in [file_to_process] if use_specific_state else state_files:
-        state_df = pd.read_csv(file, header=None, names=headers)  # Assuming no header for simplicity
+        state_df = pd.read_csv(file, header=0, names=headers)  # Assuming no header for simplicity
         #state_df = pd.read_csv(file, header=0)  # Assuming no header for simplicity
         
         for code in specialty_codes:
@@ -111,16 +111,3 @@ if st.button('Analyze Text Files for Selected Specialty 🔍'):
     else:
         st.write("No matching records found in text files for the selected specialties.")
 
-
-if st.expander(label='🩺 Understand Provider Specialties 📝', expanded=False):
-    st.markdown('''
-        ## Discover Care Providers by Specialty & Location: Quick Guide
-        - **Code**: Unique ID identifies each specialty clearly. 🆔
-        - **Grouping**: Broad category umbrella for general expertise area. 🏷️
-        - **Classification**: Specifies type of practice within broader category. 🎯
-        - **Specialization**: Details focus within classification for precise expertise. 🔍
-        - **Definition**: Concise overview of the specialty's scope. 📖
-        - **Notes**: Extra information or recent updates provided. 🗒️
-        - **Display Name**: Commonly recognized name of the specialty. 🏷️
-        - **Section**: Healthcare segment the specialty belongs to. 📚
-    ''')