import os

app.py

@@ -1,3 +1,4 @@
+import os 
 import cv2
 import gradio as gr
 import mediapipe as mp
@@ -13,11 +14,15 @@ hands = mp_hands.Hands()
 pose = mp_pose.Pose()
 face_mesh = mp_face_mesh.FaceMesh()
 
-# Load the TFLite model
-interpreter = tflite.Interpreter(model_path="model.tflite")
+# Get the absolute path to the directory containing app.py
+current_dir = os.path.dirname(os.path.abspath(__file__))
+# Define the filename of the TFLite model
+model_filename = "model.tflite"
+# Construct the full path to the TFLite model file
+model_path = os.path.join(current_dir, model_filename)
+# Load the TFLite model using the interpreter
+interpreter = tf.lite.Interpreter(model_path=model_path)
 interpreter.allocate_tensors()
-input_details = interpreter.get_input_details()
-output_details = interpreter.get_output_details()
 
 # Preprocess landmarks
 def preprocess_landmarks(hand1_landmarks, hand2_landmarks, pose_landmarks, lip_landmarks):