app.py

import gradio as gr 
from documents.loader import DocumentLoader 
from utils.rag_pipeline import RAGPipeline 
 
loader = DocumentLoader() 
rag = RAGPipeline() 
 
def process_query(question, history): 
    return f"AI Tutor: I received your question: {question}" 
 
def upload_file(file): 
    return f"Uploaded: {file.name}" 
 
with gr.Blocks() as demo: 
    gr.Markdown("# AI Tutor for Exam Preparation") 
    with gr.Row(): 
        with gr.Column(): 
            file_input = gr.File(label="Upload PDF/Image") 
            upload_btn = gr.Button("Upload") 
            upload_output = gr.Textbox(label="Upload Status") 
        with gr.Column(): 
            chatbot = gr.Chatbot() 
            msg = gr.Textbox(label="Your question") 
            send_btn = gr.Button("Send") 
 
    upload_btn.click(upload_file, inputs=file_input, outputs=upload_output) 
    send_btn.click(process_query, inputs=msg, outputs=chatbot) 
 
demo.launch()