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from dotenv import load_dotenv
import os
import google.generativeai as genai
from typing import Generator
from logging import getLogger
logger = getLogger(__name__)
class Gemini:
def __init__(self):
load_dotenv()
api_key = os.getenv("GEMINI_API_KEY")
if api_key is None:
raise ValueError("GEMINI_API_KEY is not set in the environment variables")
genai.configure(api_key=api_key)
# Create the model
self.generation_config = {
"temperature": 1,
"top_p": 0.95,
"top_k": 64,
"max_output_tokens": 8192,
"response_mime_type": "text/plain",
}
self.model = genai.GenerativeModel(
model_name="gemini-1.5-pro",
generation_config=self.generation_config,
)
def generate_text(
self, local_file: str, id: str, uploader: str
) -> Generator[str, None, None]:
responses = self.model.generate_content(
[
{
"role": "user",
"parts": [
self.__upload_to_gemini(
id=id, path=local_file, mime_type="audio/m4a"
),
f"""
Summarize the audio's content to sound like a podcast.\n
Add fun facts to the summary too.\n
The uploader of the audio is the following: {uploader}\n
Add a nice title to the summary too.\n
""",
],
},
],
stream=True,
)
for response in responses:
yield response.text
def __upload_to_gemini(self, id: str, path: str, mime_type=None) -> str:
"""Uploads the given file to Gemini.
See https://ai.google.dev/gemini-api/docs/prompting_with_media
"""
file = genai.upload_file(
path,
mime_type=mime_type,
)
logger.info(f"Uploaded file '{file.display_name}' as: {file.uri}")
return file
if __name__ == "__main__":
from extract_audio import simple_download_audio_from_youtube
gemini = Gemini()
yt_link = input("Enter YouTube link: ")
yt_res = simple_download_audio_from_youtube(yt_link)
for chunk in gemini.generate_text(
yt_res.get_local_file_path(), yt_res.id, yt_res.uploader
):
print(chunk)
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