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import gradio as gr
from processors.input_processor import ContentProcessor
from core.note_generator import NoteGenerator
from core.quiz_generator import QuizGenerator
import os
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
# Verify API key is loaded
api_key = os.getenv("OPENAI_API_KEY")
if not api_key:
raise ValueError("OPENAI_API_KEY not found in environment variables")
processor = ContentProcessor()
note_gen = NoteGenerator(api_key)
quiz_gen = QuizGenerator(api_key)
def process_pdf(pdf_file, num_questions):
if pdf_file is None:
return "Please upload a PDF file.", ""
# Save uploaded file temporarily
temp_path = pdf_file.name
# Process content
documents = processor.process_pdf(temp_path)
content = "\n".join([doc.page_content for doc in documents])
# Generate outputs
notes = note_gen.generate_notes(content)
quiz = quiz_gen.generate_quiz(content, num_questions)
return notes, quiz
def process_youtube(youtube_url, num_questions):
if not youtube_url:
return "Please enter a YouTube URL.", ""
try:
documents = processor.process_youtube(youtube_url)
content = "\n".join([doc.page_content for doc in documents])
notes = note_gen.generate_notes(content)
quiz = quiz_gen.generate_quiz(content, num_questions)
return notes, quiz
except Exception as e:
return f"Error processing YouTube URL: {str(e)}", ""
# Create Gradio interface
with gr.Blocks(title="AI Teaching Assistant") as demo:
gr.Markdown("# AI Teaching Assistant")
gr.Markdown("Generate study notes and quizzes from PDFs or YouTube videos")
with gr.Tabs():
with gr.TabItem("PDF Processing"):
with gr.Row():
with gr.Column():
pdf_input = gr.File(label="Upload PDF", file_types=[".pdf"])
pdf_num_questions = gr.Slider(
minimum=1,
maximum=10,
value=5,
step=1,
label="Number of Quiz Questions"
)
pdf_button = gr.Button("Process PDF")
with gr.Row():
with gr.Column():
pdf_notes_output = gr.Textbox(label="Generated Notes", lines=10)
with gr.Column():
pdf_quiz_output = gr.Textbox(label="Generated Quiz", lines=10)
pdf_button.click(
fn=process_pdf,
inputs=[pdf_input, pdf_num_questions],
outputs=[pdf_notes_output, pdf_quiz_output]
)
with gr.TabItem("YouTube Processing"):
with gr.Row():
with gr.Column():
youtube_input = gr.Textbox(label="YouTube URL")
youtube_num_questions = gr.Slider(
minimum=1,
maximum=10,
value=5,
step=1,
label="Number of Quiz Questions"
)
youtube_button = gr.Button("Process YouTube Video")
with gr.Row():
with gr.Column():
youtube_notes_output = gr.Textbox(label="Generated Notes", lines=10)
with gr.Column():
youtube_quiz_output = gr.Textbox(label="Generated Quiz", lines=10)
youtube_button.click(
fn=process_youtube,
inputs=[youtube_input, youtube_num_questions],
outputs=[youtube_notes_output, youtube_quiz_output]
)
if __name__ == "__main__":
demo.launch() |