PDF-Summarizer / app.py
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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
with gr.Blocks(
theme="gstaff/whiteboard",
title="PDF Summarizer",
analytics_enabled=True,
fill_height=True
) as app:
gr.HTML("<div style='text-align:center;overflow:hidden;'><h2>PDF Summarizer</h2></div>")
with gr.Sidebar(visible=False):
gr.HTML("<div style='text-align:center;overflow:hidden;'><h3>PDF Summarizer</h3></div>")
gr.HTML("<br>")
gr.HTML("<br>")
api_key = gr.Text(label="Gemini API Key", placeholder="Enter your Google Gemini API key here")
with gr.Row():
pdf_input = gr.File(file_types=[".pdf"])
summary_type = gr.Radio(["5 Bullet Points","10 Bullet Points", "Paragraph", "Sentence"],value = "5 Bullet Points", label="Select Summary Kind")
with gr.Row():
btn = gr.Button("Summarize")
clear_btn = gr.ClearButton(value="Clear")
with gr.Column():
gr.HTML("<div style='text-align:center;overflow:hidden;'><h2>Summary Output</h2></div>")
out = gr.Markdown()
btn.click(fn=pdfSummarizer, inputs=[api_key, pdf_input, summary_type], outputs=out)
clear_btn.click(lambda: [None,None,"5 Bullet Points",""],inputs=None,outputs=[api_key, pdf_input, summary_type, out],queue=False)
app.launch()