Update app,py

app,py

@@ -0,0 +1,26 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the Hugging Face model for question generation
+question_generator = pipeline("text2text-generation", model="valhalla/t5-small-qg-hl")
+
+# Function to generate MCQs
+def generate_mcqs(content, num_questions):
+    # Generate questions
+    questions = question_generator(content, max_length=512, num_return_sequences=num_questions)
+    return questions
+
+# Streamlit UI
+st.title("MCQ Generator using Hugging Face")
+
+content = st.text_area("Enter the content from which MCQs will be generated:", height=200)
+num_questions = st.number_input("Enter the number of MCQs to generate:", min_value=1, max_value=20, value=5, step=1)
+
+if st.button("Generate MCQs"):
+    if content:
+        mcqs = generate_mcqs(content, num_questions)
+        for i, mcq in enumerate(mcqs):
+            st.write(f"Q{i+1}: {mcq['generated_text']}")
+    else:
+        st.warning("Please enter the content to generate MCQs.")
+