Update app.py

app.py

@@ -1,7 +1,53 @@
-if __name__ == "__main__":
-    gr.Interface(
-        fn=analyze_plant,
-        inputs=gr.Image(type="pil", label="🖼️ Upload Leaf"),
-        outputs=gr.Markdown(),
-        title="🌿 Plant Disease Detector"
-    ).launch()
+import os
+import requests
+from io import BytesIO
+import base64
+from PIL import Image
+import gradio as gr  # ✅ Import Gradio
+from dotenv import load_dotenv
+
+# Load API key safely
+load_dotenv()
+API_KEY = os.getenv("PLANT_ID_API_KEY")  # Make sure .env contains the API key
+
+def analyze_plant(image):
+    try:
+        # Convert image to base64
+        buffered = BytesIO()
+        image.save(buffered, format="JPEG")
+        img_b64 = base64.b64encode(buffered.getvalue()).decode()
+
+        # API Request
+        response = requests.post(
+            "https://api.plant.id/v2/health_assessment",
+            headers={"Content-Type": "application/json"},
+            json={
+                "images": [f"data:image/jpeg;base64,{img_b64}"],
+                "organs": ["leaf"],
+                "api_key": API_KEY  # Injected securely
+            }
+        )
+
+        # Process response
+        if response.status_code == 200:
+            data = response.json()
+            if data["health_assessment"]["diseases"]:
+                disease = data["health_assessment"]["diseases"][0]
+                return f"""
+                🍂 **Disease:** {disease['name']}
+                ⚠️ **Probability:** {disease['probability']:.0%}
+                💊 **Treatment:** {disease['treatment']['details']}
+                """
+            return "✅ Healthy plant detected!"
+        return f"❌ API Error: {response.text}"
+
+    except Exception as e:
+        return f"🔥 Error: {str(e)}"
+
+# Launch Gradio App
+gr.Interface(
+    fn=analyze_plant,
+    inputs=gr.Image(type="pil", label="🖼️ Upload Leaf"),
+    outputs=gr.Markdown(),
+    title="🌿 Plant Disease Detector"
+).launch()