app.py

import google.generativeai as genai
import gradio as gr
from pypdf import PdfReader

def pdfSummarizer(gemini_api_key, pdf_file, kind):

    gemini_api_key = gemini_api_key

    genai.configure(api_key = gemini_api_key)

    model = genai.GenerativeModel("gemini-1.5-pro")

    pdf_file = PdfReader(pdf_file)

    pdf_text = ""

    for page in pdf_file.pages:
        pdf_text += page.extract_text()

    if kind == "5 Bullet Points":
      response = model.generate_content([pdf_text, "can you summarize this document in 5 bullet points? Use bullet points and not asterisks"])

    elif kind == "10 Bullet Points":
      response = model.generate_content([pdf_text, "can you summarize this document in 10 bullet points? Use bullet points and not asterisks"])

    elif kind == "Paragraph":
      response = model.generate_content([pdf_text, "can you summarize this document as a paragraph?"])

    elif kind == "Sentence":
      response = model.generate_content([pdf_text, "can you summarize this document in one sentence?"])

    return response.text

import gradio as gr

with gr.Blocks(
    theme="gstaff/whiteboard",
    title="PDF Summarizer",
    analytics_enabled=True,
    fill_height=True
) as app:
    gr.Markdown("<center><h2>PDF Summarizer</h2></center>")
    with gr.Row():
        inp = [
            gr.Text(label="Gemini API Key", placeholder="Enter your Google Gemini API key here"),
            gr.File(file_types=[".pdf"]),
            gr.Radio(["5 Bullet Points","10 Bullet Points", "Paragraph", "Sentence"], label="Select Summary Kind")
        ]
    with gr.Column():
        btn = gr.Button("Summarize")
    with gr.Column():
        gr.Markdown("<center><h2>Summary Output</h2></center>")
        out = gr.Markdown()

    btn.click(fn=pdfSummarizer, inputs=inp, outputs=out)

app.launch()