Spaces:
Sleeping
Sleeping
File size: 1,270 Bytes
af10061 06ce591 b6c8d68 06ce591 b6c8d68 06ce591 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
from PyPDF2 import PdfReader
from google import genai
import time
import os
# set up authentication
api_key = os.getenv("GEMINI_API_KEY")
client = genai.Client(api_key=api_key)
# read in documents
acled = PdfReader("ACLED.pdf")
dame = PdfReader("DAME.pdf")
nansen = PdfReader("Nansen.pdf")
# extract text from documents
acled_text = ""
dame_text = ""
nansen_text = ""
for page in acled.pages:
acled_text += page.extract_text()
for page in dame.pages:
dame_text += page.extract_text()
for page in nansen.pages:
nansen_text += page.extract_text()
# place extracted texts into a single list
documents = [acled_text, dame_text, nansen_text]
def retriever(prompt, history):
"""
Retrieves information from pre-loaded documents.
Args:
prompt: A string representing the search query
history: A placeholder representing query history
Returns:
Search results in natural language.
"""
context = "\n\n".join(documents)
super_prompt = f"{context}\n\nRetrieve information:\n\nQuestion: {prompt}"
response = client.models.generate_content(
model="gemini-2.0-flash",
contents=super_prompt)
stream_text = ""
for each in response.text.split():
stream_text += each + " "
time.sleep(0.01)
yield stream_text
|