Update app.py

app.py

@@ -1,3 +1,7 @@
+# Install dependencies (only needed once)
+!pip install gradio pandas scikit-learn
+
+# Imports
 import pandas as pd
 import gradio as gr
 from sklearn.feature_extraction.text import TfidfVectorizer
@@ -6,15 +10,12 @@ from sklearn.metrics.pairwise import cosine_similarity
 # Load dataset
 df = pd.read_csv("mcq_dataset.csv")
 
-# Normalize domain and subdomain values
-df['domain'] = df['domain'].astype(str).str.strip().str.lower()
-df['subdomain'] = df['subdomain'].astype(str).str.strip()
+# Normalize text to avoid case/whitespace mismatches
+df['domain'] = df['domain'].str.strip().str.lower()
+df['subdomain'] = df['subdomain'].str.strip()
 
-# Function to fetch top MCQs
+# Core logic to retrieve top MCQs
 def get_top_mcqs(user_input, domain, subdomain, top_n=10):
-    if not domain or not subdomain:
-        return pd.DataFrame()
-
     domain = domain.strip().lower()
     subdomain = subdomain.strip()
 
@@ -37,10 +38,10 @@ def get_top_mcqs(user_input, domain, subdomain, top_n=10):
 
     return top_questions.reset_index(drop=True)
 
-# Function to format quiz output
+# Quiz generation logic
 def run_quiz(domain, subdomain, keyword_input):
     mcq_df = get_top_mcqs(keyword_input, domain, subdomain)
-
+    
     if mcq_df.empty:
         return "⚠️ No questions found for the selected domain/subdomain."
 
@@ -57,29 +58,17 @@ def run_quiz(domain, subdomain, keyword_input):
 
 # Dynamic subdomain update
 def update_subdomains(domain):
-    if not domain:
-        return gr.Dropdown.update(choices=[], value=None)
-
     domain = domain.strip().lower()
     subdomains = df[df["domain"] == domain]["subdomain"].dropna().unique().tolist()
-    if not subdomains:
-        subdomains = ["No Subdomains Available"]
-
-    return gr.Dropdown.update(choices=sorted(subdomains), value=subdomains[0])
+    return gr.Dropdown.update(choices=sorted(subdomains), value=None)
 
-# Gradio Interface
+# Gradio UI
 with gr.Blocks() as demo:
     gr.Markdown("## 🧠 Domain-Based MCQ Quiz System")
 
-    with gr.Column():
-        domain_dropdown = gr.Dropdown(
-            label="Select Domain", 
-            choices=sorted(df['domain'].unique().tolist())
-        )
-        subdomain_dropdown = gr.Dropdown(
-            label="Select Subdomain", 
-            filterable=True  # 👈 Enables searching subdomains
-        )
+    with gr.Row():
+        domain_dropdown = gr.Dropdown(label="Select Domain", choices=sorted(df['domain'].unique().tolist()))
+        subdomain_dropdown = gr.Dropdown(label="Select Subdomain", choices=[])
 
     domain_dropdown.change(fn=update_subdomains, inputs=domain_dropdown, outputs=subdomain_dropdown)
 
@@ -89,5 +78,5 @@ with gr.Blocks() as demo:
 
     quiz_button.click(fn=run_quiz, inputs=[domain_dropdown, subdomain_dropdown, keyword_input], outputs=quiz_output)
 
-# Launch app
+# Launch interface
 demo.launch()