Create app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+
+genai.configure(api_key="AIzaSyBPQF0g5EfEPzEiGRzA3iNzJZK4jDukMvE")
+
+model = genai.GenerativeModel('gemini-pro')
+
+def generate_summary_and_quiz(transcript, num_questions):
+    """Generate a summary and quiz questions based on the video transcript."""
+    prompt = f"""
+    Based on the following video lecture transcript, please provide:
+    1. A concise summary of the main points (about 100 words)
+    2. {num_questions} multiple-choice quiz questions to test understanding of key concepts
+
+    Transcript:
+    {transcript}
+
+    Format your response as follows:
+    Summary:
+    [Your summary here]
+
+    Quiz Questions:
+    1. [Question]
+    a) [Option A]
+    b) [Option B]
+    c) [Option C]
+    d) [Option D]
+    Correct Answer: [Correct option letter]
+
+    2. [Next question and options...]
+
+    Ensure the questions cover different aspects of the lecture and vary in difficulty.
+    """
+
+    try:
+        response = model.generate_content(prompt)
+        return response.text
+    except Exception as e:
+        return f"Error generating summary and quiz: {str(e)}"
+
+def process_lecture(transcript, num_questions):
+    with gr.Row():
+        gr.Markdown("Generating summary and quiz...")
+    result = generate_summary_and_quiz(transcript, num_questions)
+    return result
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Video Lecture Summarizer and Quiz Generator")
+    
+    transcript_input = gr.Textbox(label="Video Lecture Transcript", lines=10, placeholder="Paste the video transcript or a detailed description of the lecture content here...")
+    num_questions = gr.Slider(minimum=1, maximum=10, value=3, step=1, label="Number of Quiz Questions")
+    
+    generate_btn = gr.Button("Generate Summary and Quiz")
+    output = gr.Textbox(label="Summary and Quiz", lines=20)
+    
+    generate_btn.click(process_lecture, inputs=[transcript_input, num_questions], outputs=output)
+
+if __name__ == "__main__":
+    demo.launch()