Upload 5 files
Browse files- app.py +17 -0
- dockerfile +30 -0
- requirements.txt +7 -0
- src/__pycache__/utils_youtube.cpython-311.pyc +0 -0
- src/utils_youtube.py +32 -0
app.py
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from typing import Union
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from fastapi import FastAPI
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from src.utils_youtube import get_youtube_transcript
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## create a new FASTAPI app instance
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app=FastAPI()
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@app.get("/")
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def home():
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return {"message":"Hello World"}
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# Define a function to handle the GET request at `/generate`
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@app.get("/generate/")
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def generate(youtubeurl,src_lang,target_lang):
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transript=get_youtube_transcript(youtubeurl,src_lang,target_lang)
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return {"output":f"{transript}"}
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dockerfile
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## Use the official Python 3.9 image
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FROM python:3.9
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## set the working directory to /code
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WORKDIR /code
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## Copy the current directory contents in the container at /code
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COPY ./requirements.txt /code/requirements.txt
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## Install the requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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# Set up a new user named "user"
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RUN useradd user
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# Switch to the "user" user
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USER user
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# Set home to the user's home directory
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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# Set the working directory to the user's home directory
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WORKDIR $HOME/app
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# Copy the current directory contents into the container at $HOME/app setting the owner to the user
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COPY --chown=user . $HOME/app
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## Start the FASTAPI App on port 7860
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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requirements.txt
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fastapi==0.74.*
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requests==2.27.*
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uvicorn[standard]==0.17.*
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langchain-community
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typer
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youtube_transcript_api
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pytube
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src/__pycache__/utils_youtube.cpython-311.pyc
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Binary file (1.45 kB). View file
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src/utils_youtube.py
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from langchain_community.document_loaders import YoutubeLoader
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from langchain_community.document_loaders.youtube import TranscriptFormat
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import os
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import json
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def get_youtube_transcript(video_url,src_language, target_language) -> None:
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"""get youtube transcript"""
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try:
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loader = YoutubeLoader.from_youtube_url(video_url,add_video_info=True,language=[src_language, "id"],translation=target_language, transcript_format=TranscriptFormat.TEXT)
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#docs = loader.load_and_split(text_splitter)
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transcript = loader.load()
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#no transcript is found
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if len(transcript) == 0:
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return 'No transcript found', None, None
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#metadata = transcript[0].metadata
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#title = metadata.get('title')
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#metadata['transcript'] = transcript[0].page_content
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#metadata['youtubelink']=video_url
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if not transcript:
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raise ValueError(f"{src_language} transcript not available for this video.")
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else:
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return transcript[0].page_content
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except Exception as e:
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print(f"An error occurred: {e}")
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return None
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