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app.py

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+import streamlit as st
+from transformers import pipeline
+from gtts import gTTS
+from fpdf import FPDF
+import os
+
+# Load pipelines with correct models
+text_generator = pipeline("text-generation", model="gpt2")
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+qa_generator = pipeline("text2text-generation", model="valhalla/t5-small-qg-hl")
+
+# Sample Q/A for demonstration
+sample_qa = {
+    "Question": "What is the process of photosynthesis?",
+    "Answer": "Photosynthesis is the process by which green plants and some other organisms use sunlight to synthesize foods with the help of chlorophyll."
+}
+
+st.title("GenAI-Powered Student Exam Preparation Assistant")
+
+# Sidebar for topic selection
+st.sidebar.title("Options")
+selected_task = st.sidebar.selectbox("Select Task", ["Explain Topic", "View Question Bank", "Sample Q/A", "Take Test"])
+
+def generate_explanation(topic):
+    prompt = f"Provide a detailed explanation of the following topic: {topic} in simple terms."
+    explanation = text_generator(prompt, max_length=500, num_return_sequences=1, temperature=0.7)
+    return explanation[0]['generated_text']
+
+def generate_quiz(explanation):
+    prompt = f"Generate a quiz question based on the following content: {explanation}"
+    quiz_question = qa_generator(prompt, max_length=150, num_return_sequences=1)
+    return quiz_question[0]['generated_text']
+
+def text_to_speech(text):
+    tts = gTTS(text=text, lang='en')
+    audio_file = "explanation.mp3"
+    tts.save(audio_file)
+    return audio_file
+
+if selected_task == "Explain Topic":
+    st.header("Topic Explanation")
+    topic = st.text_input("Enter the topic you want explained:", "")
+    
+    if st.button("Generate Explanation"):
+        if topic:
+            explanation = generate_explanation(topic)
+            st.subheader("Explanation:")
+            st.write(explanation)
+            
+            # Generate and display audio
+            audio_file = text_to_speech(explanation)
+            st.audio(audio_file, format='audio/mp3')
+
+            # Add the Quiz button only after the explanation is shown
+            if st.button("Generate Quiz Questions"):
+                quiz_question = generate_quiz(explanation)
+                st.subheader("Quiz Question:")
+                st.write(quiz_question)
+        else:
+            st.warning("Please enter a topic to explain.")
+
+elif selected_task == "View Question Bank":
+    st.header("Question Bank")
+    st.write("Feature to view and manage the question bank will be added here.")
+
+elif selected_task == "Sample Q/A":
+    st.header("Sample Question and Answer")
+    st.write("**Question:**")
+    st.write(sample_qa["Question"])
+    st.write("**Answer:**")
+    st.write(sample_qa["Answer"])
+
+elif selected_task == "Take Test":
+    st.header("AI-Proctored Test")
+    st.write("This is a simulated AI-proctored test environment.")
+    
+    # Example questions for the test
+    questions = [
+        "What is the capital of France?",
+        "Explain the law of demand.",
+        "Describe the water cycle."
+    ]
+    
+    user_answers = []
+    
+    for i, question in enumerate(questions):
+        st.subheader(f"Question {i + 1}: {question}")
+        answer = st.text_input(f"Your Answer for Question {i + 1}", key=f"answer_{i}")
+        user_answers.append(answer)
+    
+    # Start the camera feed using HTML and JavaScript
+    st.write("### Please allow camera access for proctoring.")
+    st.markdown("""
+    <video id="video" width="400" height="300" autoplay></video>
+    <script>
+        const video = document.getElementById('video');
+        navigator.mediaDevices.getUserMedia({ video: true })
+            .then(stream => {
+                video.srcObject = stream;
+            })
+            .catch(err => {
+                console.error("Error accessing webcam: ", err);
+            });
+    </script>
+    """, unsafe_allow_html=True)
+    
+    if st.button("Submit Answers"):
+        # Generate a PDF from the user's answers
+        pdf = FPDF()
+        pdf.add_page()
+        pdf.set_font("Arial", size=12)
+
+        for i, answer in enumerate(user_answers):
+            pdf.cell(200, 10, txt=f"Question {i + 1}: {questions[i]}", ln=True)
+            pdf.cell(200, 10, txt=f"Your Answer: {answer}", ln=True)
+            pdf.cell(200, 10, txt="", ln=True)  # Add a blank line for spacing
+        
+        pdf_file_path = "user_answers.pdf"
+        pdf.output(pdf_file_path)
+
+        st.success("Your answers have been submitted and saved to PDF!")
+        
+        # Provide the PDF for download
+        with open(pdf_file_path, "rb") as f:
+            st.download_button("Download Your Answers PDF", f, file_name=pdf_file_path)
+
+# Ensure to clean up any generated audio files
+if os.path.exists("explanation.mp3"):
+    os.remove("explanation.mp3")

requirements.txt

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+streamlit
+transformers
+tokenizers
+gtts
+fpdf
+pyngrok