updates

app.py

@@ -33,30 +33,56 @@ with gr.Blocks() as demo:
             )
 
         with gr.Column():
-            gr.Markdown("""## 📖 API Usage Guide
-You can call this model programmatically using the Gradio external API.
+            gr.Markdown(
+"""
+## 📖 Iris Detector API Usage (FastAPI)
 
-**Endpoint:**
+Your predictions can also be made programmatically using the FastAPI backend deployed at:
+
+### **API Endpoint**
 ```
-POST https://huggingface.co/spaces/<username>/iris-detector/run/predict
+POST https://tofighi-iris-detector-api.hf.space/predict
 ```
 
-**Request Body Example:**
+---
+
+### **📌 JSON Request Example**
 ```json
 {
-  "data": [5.1, 3.5, 1.4, 0.2]
+  "sepal_length": 5.1,
+  "sepal_width": 3.5,
+  "petal_length": 1.4,
+  "petal_width": 0.2
 }
 ```
 
-**Python Example:**
+---
+
+### **🐍 Python Example**
 ```python
 import requests
 
-url = "https://huggingface.co/spaces/<username>/iris-detector/run/predict"
-payload = {"data": [5.1, 3.5, 1.4, 0.2]}
-resp = requests.post(url, json=payload)
+url = "https://tofighi-iris-detector-api.hf.space/predict"
+
+data = {
+    "sepal_length": 5.1,
+    "sepal_width": 3.5,
+    "petal_length": 1.4,
+    "petal_width": 0.2
+}
+
+resp = requests.post(url, json=data)
 print(resp.json())
 ```
+
+---
+
+### **💻 cURL Example**
+```bash
+curl -X POST "https://tofighi-iris-detector-api.hf.space/predict" \
+     -H "Content-Type: application/json" \
+     -d '{"sepal_length":5.1,"sepal_width":3.5,"petal_length":1.4,"petal_width":0.2}'
+```
 """)
 
 demo.launch()