https://github.com/omjavia/generate_blogs

Blog Generation Website where we can generate any blog of user defined number of words and desired style of writing the blog.
https://github.com/omjavia/generate_blogs

fastapi langchain llama3 streamlit

Last synced: about 1 month ago
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Blog Generation Website where we can generate any blog of user defined number of words and desired style of writing the blog.

• Host: GitHub
• URL: https://github.com/omjavia/generate_blogs
• Owner: OmJavia
• Created: 2024-07-01T11:18:45.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-09-24T11:21:11.000Z (3 months ago)
• Last Synced: 2024-11-19T09:05:14.722Z (about 1 month ago)
• Topics: fastapi, langchain, llama3, streamlit
• Language: Python
• Homepage: https://omjavia.github.io/Generate_Blogs/
• Size: 70.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Blog Generation Website where we can generate any blog of user defined number of words and desired style of writing the blog.



## To Run the Generate Blog Code we need to follow a few steps given below

Step 1 : Open Terminal and in the terminal click on plus icon and choose command prompt

Step 2 : Follow the Below Given Steps 

    # if any previous environment is working then close it using 

          --> conda deactivate

          

    # Create a New Environment

          --> conda create -p venv python==3.12

          

    # Activate the New Environment

          --> conda activate "X"    {X = (Name being displayed before writing this line)}

          

    # Install all the requirements 

          --> pip install -r requirements.txt

Step 3 :  Download a model file required for the project and paste it in the models folder being created the download file link is given below 

          [Download The File](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/blob/main/llama-2-7b-chat.ggmlv3.q8_0.bin)

Step 4 : After Everthing is done 

     # For Running the Project type 

        --> streamlit run app.py

Now You can use the project !