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import gradio as gr
from transformers import pipeline
import torch
import moviepy.editor as mp
import os
from googleapiclient.discovery import build
from google.oauth2 import credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from googleapiclient.http import MediaIoBaseDownload
from googleapiclient.errors import HttpError
import uuid
# Device setup
device = "cpu" # Using CPU to avoid CUDA memory issues
print(f"Using device: {device}")
# Preload models
try:
transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-large-v2", device=device)
summarizer = pipeline("summarization", model="facebook/bart-large-cnn", device=device)
except Exception as e:
print(f"Error loading models: {e}. Make sure you have internet connectivity and sufficient resources.")
transcriber = None
summarizer = None
# Google Drive API setup
SCOPES = ['https://www.googleapis.com/auth/drive.readonly']
CLIENT_SECRET_FILE = 'client_secrets.json' # Relative path
APPLICATION_NAME = 'MyMeetNotes'
def get_credentials():
if not os.path.exists(CLIENT_SECRET_FILE):
raise FileNotFoundError(
"The 'client_secrets.json' file is missing. Please ensure it’s in the same directory as the script. See: "
"https://developers.google.com/drive/api/v3/quickstart/python"
)
creds = None
if os.path.exists('token.json'):
creds = credentials.Credentials.from_authorized_user_file('token.json', SCOPES)
if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRET_FILE, SCOPES)
creds = flow.run_local_server(port=0)
with open('token.json', 'w') as token:
token.write(creds.to_json())
return creds
def list_google_meet_recordings():
try:
creds = get_credentials()
service = build('drive', 'v3', credentials=creds)
results = service.files().list(
pageSize=10, fields="nextPageToken, files(id, name, mimeType)",
q="name contains 'Meeting recording' and mimeType contains 'video/'").execute()
items = results.get('files', [])
if not items:
return ["No Google Meet recordings found."]
return [f"{item['name']} (ID: {item['id']})" for item in items]
except HttpError as error:
return [f"An error occurred: {error}"]
except Exception as e:
return [f"An unexpected error occurred: {e}"]
def download_google_meet_recording(file_id):
try:
creds = get_credentials()
service = build('drive', 'v3', credentials=creds)
file_name = f"temp_recording_{file_id}_{uuid.uuid4()}.mp4" # removed os.path.join(os.getcwd(), ...) for simplicity in local usage
print(f"Downloading file ID: {file_id} to {file_name}")
request = service.files().get_media(fileId=file_id)
with open(file_name, 'wb') as fh:
downloader = MediaIoBaseDownload(fh, request)
done = False
while not done:
status, done = downloader.next_chunk()
print(f"Download progress: {int(status.progress() * 100)}%")
if os.path.exists(file_name):
print(f"Download complete. File saved as: {file_name}")
return file_name
else:
return f"Error: File '{file_name}' not found after download."
except HttpError as error:
return f"HTTP error during download: {error}"
except Exception as e:
return f"Unexpected error during download: {e}"
def generate_meeting_notes(file_id):
if transcriber is None or summarizer is None:
return "Error: Models failed to load. Check your internet connection and resources."
try:
download_result = download_google_meet_recording(file_id)
if isinstance(download_result, str) and "Error" in download_result:
return download_result
file_name = download_result
if not os.path.exists(file_name):
return f"Error: Downloaded file '{file_name}' not found."
print(f"Extracting audio from {file_name}")
video = mp.VideoFileClip(file_name)
audio_file = f"temp_audio_{uuid.uuid4()}.wav"
video.audio.write_audiofile(audio_file)
print("Audio extraction complete.")
print("Starting transcription...")
transcription = transcriber(audio_file)["text"]
print("Transcription complete.")
print("Starting summarization...")
summary = summarizer(transcription, max_length=1024, min_length=100, do_sample=False)
meeting_notes = summary[0]["summary_text"]
print("Summarization complete.")
return meeting_notes
except Exception as e:
return f"Error in processing: {str(e)}"
finally:
try:
if 'video' in locals() and video: # Check if video exists
video.close()
if 'audio_file' in locals() and os.path.exists(audio_file):
os.remove(audio_file)
if 'file_name' in locals() and os.path.exists(file_name): # Check if file_name exists
os.remove(file_name)
except Exception as cleanup_error:
print(f"Cleanup error: {cleanup_error}")
def launch_gradio():
with gr.Blocks() as iface:
gr.Markdown("# Automatic Meeting Notes Generator from Google Meet")
with gr.Row():
with gr.Column():
file_id_input = gr.Textbox(label="Google Meet Recording File ID", placeholder="Enter the Google Drive File ID")
generate_button = gr.Button("Generate Notes")
recording_list_button = gr.Button("List Recordings")
with gr.Column():
output_text = gr.Textbox(label="Meeting Notes")
recording_list = gr.Textbox(label="Available Recordings")
generate_button.click(fn=generate_meeting_notes, inputs=file_id_input, outputs=output_text)
recording_list_button.click(fn=list_google_meet_recordings, inputs=None, outputs=recording_list)
iface.launch(debug=True)
if __name__ == "__main__":
launch_gradio() |