Summarize Youtube Videos with Groq and Streamlit

name: CI/CD Build MultiArch

on:
  push:
    branches:
      - main

jobs:
  build-and-push:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout repository
      uses: actions/checkout@v2

    - name: Set up QEMU
      uses: docker/setup-qemu-action@v1

    - name: Set up Docker Buildx
      uses: docker/setup-buildx-action@v1

    - name: Login to GitHub Container Registry
      uses: docker/login-action@v1
      with:
        registry: ghcr.io
        username: ${{ github.actor }}
        password: ${{ secrets.CICD_TOKEN_YTGroq }}

    - name: Set lowercase owner name
      run: |
                echo "OWNER_LC=${OWNER,,}" >> $GITHUB_ENV
      env:
        OWNER: '${{ github.repository_owner }}'

    - name: Build and push Docker image
      uses: docker/build-push-action@v2
      with:
        context: .
        push: true
        platforms: linux/amd64,linux/arm64
        tags: |
                    ghcr.io/${{ env.OWNER_LC }}/phidata:yt-groq

import streamlit_authenticator as stauth

# Authentication function #https://github.com/naashonomics/pandas_templates/blob/master/login.py
def login():
    names = ['User Nick 1 🐷', 'User Nick 2']
    usernames = ['User 1', 'User 2']
    passwords = ['SomePassForUser1', 'anotherpassword']

    hashed_passwords = stauth.Hasher(passwords).generate()
    authenticator = stauth.Authenticate(names, usernames, hashed_passwords,
                                        'some_cookie_name', 'some_signature_key', cookie_expiry_days=1)
    name, authentication_status, username = authenticator.login('Login', 'main')
    
    if authentication_status:
        authenticator.logout('Logout', 'main')
        st.write(f'Welcome *{name}*')
        return True
    elif authentication_status == False:
        st.error('Username/password is incorrect')
    elif authentication_status == None:
        st.warning('Please enter your username (🐷) and password (💰)')
    return False

!pip install -q -U langchain==0.2.6 langchain_core==0.2.10 langchain_groq==0.1.5 gradio==4.37.1

from google.colab import userdata
groq_api_key = 'your_groq_API'

from langchain_groq import ChatGroq

chat = ChatGroq(
    api_key = groq_api_key,
    model_name = "mixtral-8x7b-32768"
)

from langchain_core.prompts import ChatPromptTemplate

system = "You are a helpful assistant."
human = "{text}"

prompt = ChatPromptTemplate.from_messages(
    [
        ("system", system), ("human", human)
    ]
)

from langchain_core.output_parsers import StrOutputParser
chain = prompt | chat | StrOutputParser()

chain.invoke(
    {"text":"Why is the sky blue?"}
)