SSoC' 25 blog post for week 02 by Muhammad Haroon

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+---
+title: "SSoC ’25 Week 02 Update by Muhammad Haroon"
+excerpt: "Setting up AudioGen locally and building a simple user interface using Streamlit for generating audio from text."
+category: "DEVELOPER NEWS"
+date: "2025-06-15"
+slug: "2025-06-15-ssoc-25-MuhammadHaroon-week02"
+author: "Muhammad Haroon"
+description: "SSoC'25 Contributor working on Generative AI Instrument Sample Generation for Music Blocks"
+tags: "ssoc25,sugarlabs,week02,GenAI,MusicBlocks,Music"
+image: "assets/Images/GSOC.png"
+---
+
+<!-- markdownlint-disable -->
+
+# Week 02 Progress Report by Muhammad Haroon
+
+**Project:** [Generative AI Instrument Sample Generation for Music Blocks](https://github.com/sugarlabs/GSoC/blob/master/Ideas-2025.md#Generative-AI-Instrument-Sample-Generation-for-Music-Blocks)  
+**Mentors:** [Walter Bender](https://github.com/walterbender), [Sumit Srivastava](https://github.com/sum2it)  
+**Assisting Mentors:** [Devin Ulibarri](https://github.com/pikurasa)  
+**Reporting Period:** 2025-06-09 - 2025-06-15  
+
+---
+
+## Goals for This Week
+
+- **Goal 1:** Set up AudioGen locally.
+- **Goal 2:** Create a UI using streamlit.
+
+---
+
+## This Week's Achievements
+
+1. **Set up AudioGen locally**  
+   - I was able to set up AudioGen locally for that I followed [AudioGen docs](https://github.com/facebookresearch/audiocraft/blob/main/docs/AUDIOGEN.md). I also created a virtual environment and a requirements.txt file to make the project easier to run.
+
+2. **Create a UI using streamlit**  
+   - I also created a UI using streamlit with the help of the [Streamlit docs](https://docs.streamlit.io/).
+
+---
+
+## Challenges & How I Overcame Them
+
+- **Challenge:** The challenge I actually faced was due to limited resources. AudioCraft (which provides AudioGen) requires a GPU with at least 16 GB of memory for running inference with the medium-sized models (~1.5B parameters). For generating 5 minutes duration of audio, it took around 15-20 minutes.  
+- **Solution:** I ran the model and used the waiting time to complete other tasks. I plan to deploy the model on AWS, where I expect significantly better performance. 
+
+---
+
+## Key Learnings
+
+- Gained familiarity with **Streamlit**
+
+---
+
+## Next Week's Roadmap
+
+- Generate more samples using AudioGen and save them in Google Drive.
+
+---
+
+## Acknowledgments
+
+Thank you to my mentors, the Sugar Labs community, and fellow GSoC contributors for ongoing support.
+
+---
+
+## Connect with Me
+
+- GitHub: [@haroon10725](https://github.com/haroon10725)
+- Gmail: [[email protected]](mailto:[email protected])
+- LinkedIn: [Muhammad Haroon](https://www.linkedin.com/in/muhammad-haroon-7003b923b/)
+
+---