# abubakkaraslam/streamlit architecture

> Architecture diagram of the GitHub repository abubakkaraslam/streamlit, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/abubakkaraslam/streamlit
- Repository: https://github.com/abubakkaraslam/streamlit

## Overview

This repository is a collection of Streamlit learning apps, including interactive-widget examples, a dataset exploration app, and a larger machine-learning analysis app. The principal analytical workflow selects or uploads data, inspects it, trains and compares models, then displays evaluation results and supports predictions. The ML source excerpt is partial; the map includes only capabilities visible in the supplied excerpts and does not infer connections for the empty `06_langchain` directory.

Main entry points: [`04_streamlit_ml_project/ml_model_app.py`](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py) (ML analysis app), [`02_streamlit/app.py`](https://github.com/abubakkaraslam/streamlit/blob/main/02_streamlit/app.py) (Dataset explorer), [`01_streamlit/app.py`](https://github.com/abubakkaraslam/streamlit/blob/main/01_streamlit/app.py) (Widget demo), [`03_streamalit_all_commands/app.py`](https://github.com/abubakkaraslam/streamlit/blob/main/03_streamalit_all_commands/app.py) (Widget gallery)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_demos["Streamlit demos"]
  node_basic_demo["Widget demo<br/>[app.py]"]
  node_commands_demo["Widget gallery<br/>[app.py]"]
end

subgraph group_analysis["Data exploration"]
  node_analysis_app["Dataset explorer<br/>[app.py]"]
  node_analysis_views["Summary and plots<br/>[app.py]"]
end

subgraph group_ml["Machine learning"]
  node_ml_app["ML analysis app<br/>[ml_model_app.py]"]
  node_validation["Data validation<br/>[ml_model_app.py]"]
  node_preprocessing["Preprocessing<br/>[ml_model_app.py]"]
  node_model_training["Model training<br/>[ml_model_app.py]"]
  node_evaluation["Model evaluation<br/>[ml_model_app.py]"]
  node_results["Comparison results<br/>[ml_model_app.py]"]
  node_prediction_input["Prediction input<br/>[ml_model_app.py]"]
  node_prediction["Prediction<br/>[ml_model_app.py]"]
end

node_user(("User"))
node_streamlit["Streamlit UI"]
node_sample_data["Sample datasets"]
node_uploaded_data["Uploaded dataset"]
node_ml_data["Input dataset"]

node_user -->|"uses"| node_basic_demo
node_basic_demo -->|"renders controls"| node_streamlit
node_user -->|"uses"| node_commands_demo
node_commands_demo -->|"renders controls"| node_streamlit
node_user -->|"selects data"| node_analysis_app
node_analysis_app -->|"loads dataset"| node_sample_data
node_user -->|"uploads"| node_uploaded_data
node_analysis_app -->|"reads upload"| node_uploaded_data
node_analysis_app -->|"computes and renders"| node_analysis_views
node_analysis_app -->|"renders interface"| node_streamlit
node_user -->|"configures analysis"| node_ml_app
node_user -->|"provides dataset"| node_ml_data
node_ml_app -->|"validates data"| node_validation
node_ml_app -->|"builds pipelines"| node_preprocessing
node_ml_app -->|"trains models"| node_model_training
node_model_training -->|"uses transforms"| node_preprocessing
node_ml_app -->|"scores models"| node_evaluation
node_ml_app -->|"displays results"| node_results
node_user -->|"enters features"| node_prediction_input
node_ml_app -->|"collects input"| node_prediction_input
node_ml_app -->|"predicts with best model"| node_prediction
node_prediction_input -->|"supplies features"| node_prediction
node_ml_app -->|"renders interface"| node_streamlit

click node_basic_demo "https://github.com/abubakkaraslam/streamlit/blob/main/01_streamlit/app.py"
click node_commands_demo "https://github.com/abubakkaraslam/streamlit/blob/main/03_streamalit_all_commands/app.py"
click node_analysis_app "https://github.com/abubakkaraslam/streamlit/blob/main/02_streamlit/app.py"
click node_analysis_views "https://github.com/abubakkaraslam/streamlit/blob/main/02_streamlit/app.py"
click node_ml_app "https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py"
click node_validation "https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py"
click node_preprocessing "https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py"
click node_model_training "https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py"
click node_evaluation "https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py"
click node_results "https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py"
click node_prediction_input "https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py"
click node_prediction "https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_basic_demo,node_commands_demo,node_user,node_streamlit toneBlue
class node_analysis_app,node_analysis_views toneAmber
class node_ml_app,node_validation,node_preprocessing,node_model_training,node_evaluation,node_results,node_prediction_input,node_prediction toneMint
class node_sample_data,node_uploaded_data,node_ml_data toneIndigo
```

## Components

### Streamlit demos

- [Widget demo](https://github.com/abubakkaraslam/streamlit/blob/main/01_streamlit/app.py): `01_streamlit/app.py`
- [Widget gallery](https://github.com/abubakkaraslam/streamlit/blob/main/03_streamalit_all_commands/app.py): `03_streamalit_all_commands/app.py`

### Data exploration

- [Dataset explorer](https://github.com/abubakkaraslam/streamlit/blob/main/02_streamlit/app.py): `02_streamlit/app.py`
- [Summary and plots](https://github.com/abubakkaraslam/streamlit/blob/main/02_streamlit/app.py): `02_streamlit/app.py`

### Machine learning

- [ML analysis app](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py): `04_streamlit_ml_project/ml_model_app.py`
- [Data validation](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py): `04_streamlit_ml_project/ml_model_app.py`
- [Preprocessing](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py): `04_streamlit_ml_project/ml_model_app.py`
- [Model training](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py): `04_streamlit_ml_project/ml_model_app.py`
- [Model evaluation](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py): `04_streamlit_ml_project/ml_model_app.py`
- [Comparison results](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py): `04_streamlit_ml_project/ml_model_app.py`
- [Prediction input](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py): `04_streamlit_ml_project/ml_model_app.py`
- [Prediction](https://github.com/abubakkaraslam/streamlit/blob/main/04_streamlit_ml_project/ml_model_app.py): `04_streamlit_ml_project/ml_model_app.py`

### Other components

- **User**
- **Streamlit UI**
- **Sample datasets**
- **Uploaded dataset**
- **Input dataset**

## Connections

- User → Widget demo: uses
- Widget demo → Streamlit UI: renders controls
- User → Widget gallery: uses
- Widget gallery → Streamlit UI: renders controls
- User → Dataset explorer: selects data
- Dataset explorer → Sample datasets: loads dataset
- User → Uploaded dataset: uploads
- Dataset explorer → Uploaded dataset: reads upload
- Dataset explorer → Summary and plots: computes and renders
- Dataset explorer → Streamlit UI: renders interface
- User → ML analysis app: configures analysis
- User → Input dataset: provides dataset
- ML analysis app → Data validation: validates data
- ML analysis app → Preprocessing: builds pipelines
- ML analysis app → Model training: trains models
- Model training → Preprocessing: uses transforms
- ML analysis app → Model evaluation: scores models
- ML analysis app → Comparison results: displays results
- User → Prediction input: enters features
- ML analysis app → Prediction input: collects input
- ML analysis app → Prediction: predicts with best model
- Prediction input → Prediction: supplies features
- ML analysis app → Streamlit UI: renders interface