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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(): | |
api_key = gr.Text(label="Gemini API Key", placeholder="Enter your Google Gemini API key here"), | |
pdf_file = gr.File(file_types=[".pdf"]), | |
summary_type = gr.Radio(["5 Bullet Points","10 Bullet Points", "Paragraph", "Sentence"], label="Select Summary Kind") | |
with gr.Column(): | |
with gr.Row(): | |
btn = gr.Button("Summarize") | |
clear_btn = gr.ClearButton(value="Clear") | |
with gr.Column(): | |
gr.Markdown("<center><h2>Summary Output</h2></center>") | |
out = gr.Markdown() | |
btn.click(fn=pdfSummarizer, inputs=inp, outputs=out) | |
clear_btn.click(lambda: (None,None,None,""),outputs=[api_key, pdf_input, summary_type, out],queue=False) | |
app.launch() | |