feat: Add example datasets and integrate them into the Gradio interface.

README.md

@@ -34,6 +34,13 @@ This app uses:
 
 ## 🚀 Features
 
+### 📋 File Size Limits
+
+* **Hard cap**: 10MB maximum file size
+* **Soft cap**: 1.5MB recommended for optimal performance
+* **Large file handling**: If a file exceeds the soft cap, training will automatically use only the top 10K rows for processing
+* This optimization speeds up the training process and returns model IDs and responses faster
+
 ### ✅ 1. Natural Chat Interface
 
 Chat like a normal assistant — ask questions, discuss data, clarify tasks.
@@ -112,6 +119,12 @@ The agent always displays a `<details>` block containing:
 
 This keeps the main summary clean while still exposing full transparency.
 
+### Clickable Examples
+
+* Pre-loaded examples for quick testing
+* Triggers analysis, training, deployment, and auto-deployment
+* Uses the included `data/heart.csv` and `data/housing.csv` dataset automatically
+
 
 
 ## 📦 Installation

app.py

@@ -456,6 +456,17 @@ with gr.Blocks(title="Streaming MLOps Agent") as demo:
         outputs=[chatbot, msg],
     )
 
+    gr.Examples(
+        examples=[
+            ["Analyze the dataset", os.path.join("data", "heart.csv")],
+            ["Train the model", os.path.join("data", "heart.csv")],
+            ["Deploy the model", os.path.join("data", "heart.csv")],
+            ["Auto deploy the model using the dataset", os.path.join("data", "housing.csv")],
+        ],
+        inputs=[msg, uploader],
+        label="Try an example",
+    )
+
 if __name__ == "__main__":
     demo.queue().launch(
         theme=gr.themes.Soft(primary_hue="green", secondary_hue="blue"),

data/heart.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:948420b084d8a3a0ca42b8419fce9aee175879e43f8aedf712377899a67aa49b
+size 35921

data/housing.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2382fadd49b76e0fbe0c168fa71381d892e56130a6c3b4a3dc14da4931dc2124
+size 12435