Update a.py

a.py

@@ -9,7 +9,7 @@ df = pd.read_csv('location.csv', encoding='Windows-1252')
 
 # Initialize session state for selected service and chatbot history
 if 'selected_service' not in st.session_state:
-    st.session_state.selected_service = "Kendra Locator"
+    st.session_state.selected_service = "Kendr Locator"
 if 'user_input' not in st.session_state:
     st.session_state['user_input'] = ''
 
@@ -49,7 +49,7 @@ llm = LlamaCpp(
     stop=["###"]
 )
 
-template = """Below is Question that describes a task. Write a Response that appropriately completes that request. Always maintain a professional tone and avoid providing offensive or inappropriate Response.
+template = """You are a knowledgeable, conversational assistant. Below is an Question that describes a query. Give out a Response that appropriately completes that query.
 
 ### Question:
 {}
@@ -67,10 +67,10 @@ PROFANE_WORDS = [
     "knob", "knobhead", "wazzock", "clit", "scrotum", "fanny", "ass", "freak",
     "bimbo", "dumbass", "jackass", "wimp", "idiot", "moron", "loser", "fool",
     "retard", "cocksucker", "shag", "shagger", "piss off", "go to hell",
-    "hell", "dammit", "son of a bitch", "jerk", "puke", "chut", "chutiyah",
+    "dammit", "son of a bitch", "jerk", "puke", "chut", "chutiyah",
     "bhosdike", "bhenchod", "madarchod", "gandu", "gand", "bhancho",
     "saala", "kameena", "bhenji", "bhadwa", "kothi", "aankhmar", "launda",
-    "bhikari", "sala", "billi", "bhosdika", "kothi", "sundar", "langda",
+    "bhikari", "sala", "bhosdika", "kothi", "sundar", "langda",
     "kaamchor", "gaddha", "bakra", "chudiya", "gando", "bhencod", "lanat",
     "bhoot", "chakkar", "chutak", "haramkhor", "bandar", "banda", "bakwas",
     "nikamma", "pagal", "nalayak", "pagal", "khota", "madharchod"
@@ -98,7 +98,7 @@ def truncate_at_full_stop(text, max_length=1024):
     return truncated
 
 
-if st.session_state.selected_service == "Kendra Locator":
+if st.session_state.selected_service == "Kendr Locator":
     st.title("MedBot")
 
     user_input = st.text_input("Your Queries:", key='temp_user_input')
@@ -113,7 +113,7 @@ if st.session_state.selected_service == "Kendra Locator":
                 response = llm.invoke(formatted_prompt)
 
                 truncated_response = truncate_at_full_stop(response)
-                st.markdown(f"**MedBot:** {truncated_response}.", unsafe_allow_html=False)
+                st.markdown(f"**MedBot:** {truncated_response}", unsafe_allow_html=False)
 
 
 st.warning("Developer's notice : Responses are generated by AI and maybe inaccurate or inappropriate. Any received medical or financial consult is not a substitute for professional advice.")