Poetic Call

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  Poetic Call Interface

Inspiration

Have you want source of comfort, solace in difficult times, way of expressing joy and celebration in good time and power of expression but you can't.

What it does

The goal of Poetic Call is to generate creative poetry in multiple languages based on a user's chosen subject and preferred language using AI language models.

How I built it

Python, Groq API, Llama 3.3 70B Model, Streamlit, GitHub, Streamlit Cloud

Challenges I ran into

Retrieve user bilingual-request simultaneously and response in user friendly manner.

Accomplishments that I'm proud of

This is my first project where I successfully developed both the user interface and backend framework. I am proud of integrating multiple technologies including Python, Groq API, Llama 3.3 70B model, Streamlit, and Streamlit Cloud for deploying an AI-powered creative application.

What I learned

I learned how to build and deploy API-based AI applications, integrate Large Language Models into Python projects, handle user inputs, and create interactive web applications using Streamlit.

What's next for Poetic Call

I plan to add more poetry styles, including different forms, rhythms, rhymes, and sound patterns, allowing users to generate more customized and expressive poetry.

Built With

• github
• groq
• llama-3.3-70b
• python
• streamlit
• streamlit-cloud