The latest articles on DEV Community by Dubeyrock (@dubeyrock). https://dev.to/dubeyrock https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1114372%2Fa140f61a-ba00-45a4-aed5-dfbd3d8e8ce2.png https://dev.to/dubeyrock en Dubeyrock Wed, 13 May 2026 05:23:19 +0000 https://dev.to/dubeyrock/how-i-built-a-free-voice-ai-pipeline-using-whisper-llama-31-groq-bhp https://dev.to/dubeyrock/how-i-built-a-free-voice-ai-pipeline-using-whisper-llama-31-groq-bhp <p>I recently built VoiceIQ — a complete Voice AI pipeline that listens to your voice, thinks using an LLM, and speaks the answer back. The best part? It costs nothing.</p> <h2> The Stack </h2> <ul> <li>Whisper Large V3 (via Groq API) → Speech to Text.</li> <li>LLaMA 3.1 8B Instant (via Groq API) → Language Model.</li> <li>gTTS → Text to Speech.</li> <li>Streamlit → Web UI.</li> </ul> <p><strong>Feature: Conversation Memory</strong><br> By default, every LLM call is stateless. I fixed this by building a ConversationMemory class that stores the last 8 turns and passes full history with every request.</p> <p><strong>Real Bug I Hit</strong><br> Mid-development, Groq deprecated llama3-8b-8192. App threw a 400 error. Fix was simple — switch to llama-3.1-8b-instant. But it taught me to never hardcode model strings!</p> <p>Why Groq over OpenAI?</p> <p>Groq offers free tier with very fast inference. For a voice assistant, speed matters more than marginal accuracy gains.</p> <p><strong>Watch the Full Demo</strong><br> I made a complete video walkthrough showing the live pipeline:<br> 👉 <a href="https://youtu.be/Nt9DOR_kq8I" rel="noopener noreferrer"></a></p> <p>Happy to discuss the implementation in comments!<br> <a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fr1iivpt1tdd4e4kap8w2.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fr1iivpt1tdd4e4kap8w2.png" alt=" " width="800" height="533"></a></p> ai python deeplearning machinelearning Dubeyrock Fri, 30 Aug 2024 04:59:20 +0000 https://dev.to/dubeyrock/how-to-build-a-line-graph-in-matplotlib-python-data-visualization-tutorial-4114 https://dev.to/dubeyrock/how-to-build-a-line-graph-in-matplotlib-python-data-visualization-tutorial-4114 <p>Hey everyone! 👋</p> <p>I've just published a new tutorial on YouTube where I walk through the process of creating a line graph in Matplotlib, one of Python's most powerful plotting libraries. Whether you're a beginner or looking to improve your data visualization skills, this video covers everything from the basics to more advanced techniques.</p> <p>What You'll Learn:</p> <ul> <li>Setting up and importing libraries in Python for Matplotlib</li> <li>Preparing and plotting your data to create a line graph</li> <li>Customizing your Matplotlib line graph with titles, labels, and styles</li> <li>Adding multiple lines, annotations, and advanced data visualization techniques</li> </ul> <p>Access the Code and Resources:</p> <ul> <li> <strong>GitHub Repository</strong>: <a href="https://github.com/Dubeyrock" rel="noopener noreferrer">GitHub Link</a> </li> <li> <strong>Google Colab Notebook</strong>: Google Colab Link </li> <li> <strong>Kaggle Profile</strong>: <a href="https://www.kaggle.com/s00980" rel="noopener noreferrer">Kaggle Profile Link</a> </li> <li> <strong>Download the Presentation (PPT)</strong>: PPT Link </li> </ul> <h3> <strong>Watch the Full Tutorial Here:</strong> </h3> <p><a href="https://youtu.be/tWBoDCnj5Ck?si=mE3sEVGy4Ki0Jurm" rel="noopener noreferrer">YouTube Video</a></p> <h3> <strong>Follow Me:</strong> </h3> <ul> <li> <strong>LinkedIn</strong>: <a href="https://www.linkedin.com/in/shivam-dubey-371a591a8/" rel="noopener noreferrer">LinkedIn Profile</a> </li> <li> <strong>GitHub</strong>: <a href="https://github.com/Dubeyrock" rel="noopener noreferrer">GitHub Profile</a> </li> <li> <strong>Twitter</strong>: <a href="https://x.com/ShivamD93005288" rel="noopener noreferrer">Twitter Profile</a> </li> <li> <strong>Medium</strong>: <a href="https://medium.com/@shivvam2002" rel="noopener noreferrer">Medium Profile</a> </li> <li> <strong>Kaggle</strong>: <a href="https://www.kaggle.com/s00980" rel="noopener noreferrer">Kaggle Profile</a> </li> </ul> <p>DEMO Images: </p> <p><a href="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F7ac00d2nmuz54pyjnwyy.png" class="article-body-image-wrapper"><img src="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F7ac00d2nmuz54pyjnwyy.png" alt="Image description" width="568" height="413"></a></p> <p><a href="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhs5x67d31gjkn3yazw81.png" class="article-body-image-wrapper"><img src="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhs5x67d31gjkn3yazw81.png" alt="Image description" width="587" height="455"></a></p> <p><a href="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftwa9ieww703nz8altsun.png" class="article-body-image-wrapper"><img src="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftwa9ieww703nz8altsun.png" alt="Image description" width="587" height="455"></a></p> <p>Looking forward to your feedback and questions! 🚀</p> python data ai machinelearning