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import uvicorn
from fastapi import FastAPI, Request
from media_download import YoutubeDownloader
from transcription import StableWhisper
from summarizer import Extract_Summary, AudioBookNarration
from audiobook import AudioBook
app = FastAPI()
output_folder = 'Output'
# Create a context variable to store the contexts for each user
users_context = dict()
@app.get("/get_media_info")
async def get_media_info(request: Request, url: str):
# Getting User's IP
user_ip = request.client.host
# Getting User's Youtube Downloader
youtube_downloader = YoutubeDownloader(url, output_folder)
# Getting Youtube Media Info
media_info = youtube_downloader.get_media_info()
# Storing Info in the context for this user's session
users_context[user_ip] = dict()
users_context[user_ip]['downloader'] = youtube_downloader
# users_context[user_ip]['media_info'] = media_info
users_context[user_ip]['url'] = url
return media_info
@app.get("/download_media")
async def download_media(request: Request, media_type: str, media_format: str, media_quality: str):
# Getting User's IP
user_ip = request.client.host
# Downloading Media for User
media_path = users_context[user_ip]['downloader'].download(media_type, media_format, media_quality)
# Getting Status
status = 1 if media_path else 0
if status:
# Storing Media Info in the context for this user's session
users_context[user_ip]['media_path'] = media_path
users_context[user_ip]['media_type'] = media_type
return {"status": status}
@app.get("/get_transcript")
async def get_transcript(request: Request, subtitle_format: str = 'srt', word_level: bool = True):
# Getting User's IP
user_ip = request.client.host
# Retrieving the media_path from the context for this user's session
media_path = users_context[user_ip]['media_path']
# Checking if the media_type is Video, then extract it's audio
media_type = users_context[user_ip]['media_type']
if media_type == 'video':
media_path = users_context[user_ip]['downloader'].extract_audio(media_path)
# Whisper based transcription
stable_whisper_transcript = StableWhisper(media_path, output_folder, subtitle_format=subtitle_format, word_level=word_level)
transcript = stable_whisper_transcript.generate_transcript()
transcript_path = stable_whisper_transcript.save_transcript()
# Getting Status
status = 1 if transcript else 0
if status:
# Storing Transcript Info in the context for this user's session
users_context[user_ip]['transcript'] = transcript
users_context[user_ip]['transcript_path'] = transcript_path
return {"status": status, "transcript": transcript}
@app.get("/get_summary")
async def get_summary(request: Request, Summary_type: str, Summary_strategy: str, Target_Person_type: str,
Response_length: str, Writing_style: str, text_input: str = None):
# Getting User's IP
user_ip = request.client.host
# Getting Transcript if not provided
if not text_input:
text_input = users_context[user_ip]['transcript']
# Extracting Summary
summary_extractor = Extract_Summary(text_input=text_input)
output = summary_extractor.define_chain(Summary_type=Summary_type,
Summary_strategy=Summary_strategy,
Target_Person_type=Target_Person_type,
Response_length=Response_length,
Writing_style=Writing_style,
key_information=False)
# Getting Status
status = 1 if output else 0
if status:
# Storing Summary Info in the context for this user's session
users_context[user_ip]['summary'] = output
return {"status": status, "summary": output}
@app.get("/get_key_info")
async def get_key_info(request: Request, Summary_type: str, Summary_strategy: str, Target_Person_type: str,
Response_length: str, Writing_style: str, text_input: str = None):
# Getting User's IP
user_ip = request.client.host
# Getting Transcript if not provided
if not text_input:
text_input = users_context[user_ip]['transcript']
# Extracting Summary
summary_extractor = Extract_Summary(text_input=text_input)
output = summary_extractor.define_chain(Summary_type=Summary_type,
Summary_strategy=Summary_strategy,
Target_Person_type=Target_Person_type,
Response_length=Response_length,
Writing_style=Writing_style,
key_information=True)
# Getting Status
status = 1 if output else 0
if status:
# Storing Key Info in the context for this user's session
users_context[user_ip]['key_info'] = output
return {"status": status, "key_info": output}
@app.get("/get_narration")
async def get_narration(request: Request, Narration_style: str, text_input: str = None):
# Getting User's IP
user_ip = request.client.host
# Getting Transcript if not provided
if not text_input:
text_input = users_context[user_ip]['transcript']
# Extracting Narration
narrator = AudioBookNarration(text_input=text_input)
output = narrator.define_chain(Narration_style=Narration_style)
# Getting Status
status = 1 if output else 0
if status:
# Storing Narration Info in the context for this user's session
users_context[user_ip]['narration'] = output
return {"status": status, "narration": output}
@app.get("/get_audiobook")
async def get_audiobook(request: Request, speaker: str = "male", text_input: str = None):
# Getting User's IP
user_ip = request.client.host
# Getting Transcript if not provided
if not text_input:
text_input = users_context[user_ip]['narration']
# Generating Audiobook
audiobook = AudioBook(output_folder=output_folder)
audio_path = audiobook.generate_audio_from_text(text_input, speaker=speaker, filename="output_audio")
# Getting Status
status = 1 if audio_path else 0
if status:
# Storing Audiobook path in the context for this user's session
users_context[user_ip]['audiobook_path'] = audio_path
return {"status": status, "audiobook_path": audio_path}
if __name__ == "__main__":
uvicorn.run(app, host="127.0.0.1", port=8000) |