diff --git a/roadcast/__pycache__/app.cpython-312.pyc b/roadcast/__pycache__/app.cpython-312.pyc
index 74f3523..cf6362d 100644
Binary files a/roadcast/__pycache__/app.cpython-312.pyc and b/roadcast/__pycache__/app.cpython-312.pyc differ
diff --git a/roadcast/app.py b/roadcast/app.py
index 1fabf27..acbde40 100644
--- a/roadcast/app.py
+++ b/roadcast/app.py
@@ -43,28 +43,67 @@ def train_endpoint():
     return jsonify({"status": "training_started"})
 
 
-@app.route('/predict', methods=['POST'])
+@app.route('/predict', methods=['POST', 'GET'])
 def predict_endpoint():
-    """Predict single uploaded image. Expects form-data with file field named 'image'."""
-    if 'image' not in request.files:
-        return jsonify({"error": "no image uploaded (field 'image')"}), 400
-    img = request.files['image']
-    tmp_path = os.path.join(os.getcwd(), 'tmp_upload.jpg')
-    img.save(tmp_path)
+    """Predict route between two points given source and destination with lat and lon.
+
+    Expectation:
+    - POST with JSON: {"source": {"lat": .., "lon": ..}, "destination": {"lat": .., "lon": ..}}
+    - GET returns usage instructions for quick browser testing.
+    """
+    if request.method == 'GET':
+        return jsonify({
+            "info": "This endpoint expects a POST with JSON body.",
+            "example": {
+                "source": {"lat": 38.9, "lon": -77.0},
+                "destination": {"lat": 38.95, "lon": -77.02}
+            },
+            "note": "Use POST to receive a prediction. Example: curl -X POST -H 'Content-Type: application/json' -d '{\"source\": {\"lat\": 38.9, \"lon\": -77.0}, \"destination\": {\"lat\": 38.95, \"lon\": -77.02}}' http://127.0.0.1:5000/predict"
+        }), 200
+
+    data = request.json or {}
+    source = data.get('source')
+    destination = data.get('destination')
+    if not source or not destination:
+        return jsonify({"error": "both 'source' and 'destination' fields are required"}), 400
+    try:
+        src_lat = float(source.get('lat'))
+        src_lon = float(source.get('lon'))
+        dst_lat = float(destination.get('lat'))
+        dst_lon = float(destination.get('lon'))
+    except (TypeError, ValueError):
+        return jsonify({"error": "invalid lat or lon values; must be numbers"}), 400
+
+    # Ensure compute_reroute exists and is callable
+    try:
+        from openweather_client import compute_reroute
+    except Exception as e:
+        return jsonify({
+            "error": "compute_reroute not found in openweather_client",
+            "detail": str(e),
+            "hint": "Provide openweather_client.compute_reroute or implement a callable that accepts (src_lat, src_lon, dst_lat, dst_lon)"
+        }), 500
+
+    if not callable(compute_reroute):
+        return jsonify({"error": "openweather_client.compute_reroute is not callable"}), 500
+
+    # Call compute_reroute with fallback strategies
     try:
-        from inference import load_model, predict_image
-        model_path = os.path.join(os.getcwd(), 'model.pth')
-        if not os.path.exists(model_path):
-            return jsonify({"error": "no trained model found (run /train first)"}), 400
-        model, idx_to_class = load_model(model_path)
-        idx, conf = predict_image(model, tmp_path)
-        label = idx_to_class.get(idx) if idx_to_class else str(idx)
-        return jsonify({"label": label, "confidence": conf})
-    finally:
         try:
-            os.remove(tmp_path)
-        except Exception:
-            pass
+            result = compute_reroute(src_lat, src_lon, dst_lat, dst_lon)
+        except TypeError:
+            # fallback: single payload dict
+            payload = {'source': {'lat': src_lat, 'lon': src_lon}, 'destination': {'lat': dst_lat, 'lon': dst_lon}}
+            result = compute_reroute(payload)
+
+        # Normalize response
+        if isinstance(result, dict):
+            return jsonify(result)
+        else:
+            return jsonify({"result": result})
+    except Exception as e:
+        return jsonify({"error": "compute_reroute invocation failed", "detail": str(e)}), 500
+
 
 @app.route('/')
 def home():
@@ -136,3 +175,6 @@ if __name__ == '__main__':
 #     ai_response = f"AI received: {user_input}"
 
 #     return jsonify({"response": ai_response})
+#     ai_response = f"AI received: {user_input}"
+
+#     return jsonify({"response": ai_response"})