Added mediapipe functions and model

app.py

@@ -1,10 +1,31 @@
 import gradio as gr
-#import mediapipe as mp
+import mediapipe as mp
 #from mediapipe.tasks import python
 #from mediapipe.tasks.python import vision
 
+BaseOptions = mp.tasks.BaseOptions
+ObjectDetector = mp.tasks.vision.ObjectDetector
+ObjectDetectorOptions = mp.tasks.vision.ObjectDetectorOptions
+VisionRunningMode = mp.tasks.vision.RunningMode
+
 def analyze_image(image):
-    return image.name
+    model_path = "efficientdet_lite0.tflite"
+
+    options = ObjectDetectorOptions(
+    base_options=BaseOptions(model_asset_path=model_path),
+    max_results=1,
+    running_mode=VisionRunningMode.IMAGE)
+
+    mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=image)
+
+    with ObjectDetector.create_from_options(options) as detector:
+        detection_result = detector.detect(mp_image)
+
+    results = ""
+    for i,detection in enumerate(detection_result.detections):
+        text += f'Detection {i}: {detection.categories[0].category_name}\n'
+
+    return results
 
 img = gr.Image()
 txt = gr.Text()

efficientdet_lite0.tflite

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0720bf247bd76e6594ea28fa9c6f7c5242be774818997dbbeffc4da460c723bb
+size 4602795

requirements.txt

@@ -1 +1,2 @@
-numpy
+numpy
+mediapipe