I will deploy machine learning model llm using streamlit gradio and fastapi
About this Gig
Is your trained ML or AI model stuck in a notebook with no way to show it to clients
or users? You are in the right place.
I deploy machine learning models as clean interactive web applications using Streamlit
Gradio and FastAPI so your model becomes a real product anyone can use instantly.
I am a Gold Medalist BS Data Science graduate and AI Developer with production experience deploying real AI systems including a live sentiment analysis platform and RAG powered intelligence tools used by real users daily.
What I will build for you:
- Streamlit or Gradio web app for your model
- FastAPI REST endpoint for model serving
- Hugging Face Spaces deployment
- Custom UI with your branding and inputs
- File upload image text and CSV input support
- Real time prediction and output display
- Model performance dashboard
- Docker ready deployment package
- Full source code and documentation
Best for students researchers startups businesses and developers who need a live demo or production ready model interface.
Message me before ordering with your model type and I will confirm the right approach.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What do you need from me to start?
I need your trained model file such as pkl h5 or pt format, your model input and output format, and any UI preferences. If you have existing training code I can work with that.
Where will the app be deployed?
I deploy on Hugging Face Spaces by default which is free and publicly accessible. For paid cloud I support Railway Render and Azure. Just tell me your preference before ordering.
Can you build this for any model type?
Yes. I have built apps for classification regression NLP sentiment analysis image processing and LLM models. If it runs in Python I can wrap it in a clean web app.
Will the app look professional?
Yes. I build custom interfaces not default themes. Your app will have proper layout colors labels and clear instructions making it easy for any user to understand and use.

