Update app.py

app.py

@@ -3,7 +3,7 @@ from huggingface_hub import InferenceClient
 import re
 import random
 
-# ---- Load and parse questions from knowledge.txt ----
+# uploading and cleaning the knowledge txt file
 def load_questions(file_path):
     with open(file_path, 'r') as f:
         data = f.read()
@@ -20,7 +20,7 @@ def load_questions(file_path):
 
 all_questions = load_questions('knowledge.txt')
 
-# ---- Tagging ----
+# creating the questions based on each interview
 questions_by_type = {
     'Technical': [q for q in all_questions if any(keyword in q['question'].lower() for keyword in [
         'function', 'linked list', 'url', 'rest', 'graphql', 'garbage', 'cap theorem', 'sql', 'hash table',
@@ -35,7 +35,7 @@ questions_by_type = {
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-# ---- Logic functions ----
+# setting up the users profile
 def set_type(choice, user_profile):
     user_profile["interview_type"] = choice
     return "Great! What’s your background and what field/role are you aiming for?", user_profile
@@ -52,7 +52,7 @@ def respond(message, chat_history, user_profile):
         chat_history.append((message, bot_msg))
         return chat_history
 
-    # Start interview logic
+    # interview process
     if message_lower == 'start':
         interview_type = user_profile['interview_type']
         selected_questions = questions_by_type.get(interview_type, [])
@@ -96,7 +96,7 @@ def respond(message, chat_history, user_profile):
         chat_history.append((message, feedback))
         return chat_history
 
-    # fallback small talk
+    # starting the chatbot
     messages = [{"role": "system", "content": f"You are a professional interviewer conducting a {user_profile['interview_type']} interview for a candidate in {user_profile['field']}."}]
     for q, a in chat_history:
         messages.append({"role": "user", "content": q})
@@ -122,7 +122,7 @@ def generate_feedback(user_profile):
         feedback.append(fb)
     return "\n".join(feedback)
 
-# ---- Gradio UI ----
+# creating the visual elements
 with gr.Blocks() as demo:
     user_profile = gr.State({"interview_type": "", "field": "", "interview_in_progress": False})
     chat_history = gr.State([])