app.py

import os
import gradio as gr
import google.generativeai as genai
from dotenv import load_dotenv
import httpx

load_dotenv()
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

model = genai.GenerativeModel(
    model_name="gemini-2.0-flash",
    generation_config={
        "temperature": 0.9,
        "top_p": 1,
        "max_output_tokens": 2048,
    }
)

doc_url = "https://discovery.ucl.ac.uk/id/eprint/10089234/1/343019_3_art_0_py4t4l_convrt.pdf"  # Replace with the actual URL of your PDF

# Retrieve and encode the PDF byte
doc_data = httpx.get(doc_url).content

prompt = "Summarize this document"
response = client.models.generate_content(
  model="gemini-1.5-flash",
  contents=[
      types.Part.from_bytes(
        data=doc_data,
        mime_type='application/pdf',
      ),
      prompt])
print(response.text)