fix error not finding temp file

app.py

@@ -260,6 +260,13 @@ def predict_depth(input_image):
 def create_3d_model(depth_csv, image_path, focallength_px, simplification_factor, smoothing_iterations, thin_threshold):
     try:
         depth = np.loadtxt(depth_csv, delimiter=',')
+        
+        # Check if the image file exists
+        if not os.path.exists(image_path):
+            raise FileNotFoundError(f"Image file not found: {image_path}")
+        
+        print(f"Loading image from: {image_path}")
+        
         view_model_path, download_model_path = generate_3d_model(
             depth, image_path, focallength_px, 
             simplification_factor, smoothing_iterations, thin_threshold
@@ -317,13 +324,13 @@ with gr.Blocks() as iface:
     model_status = gr.Textbox(label="3D Model Status")
     
     # Hidden components to store intermediate results
-    hidden_image_path = gr.State()
+    hidden_image_path = gr.State("temp_input_image.png")
     hidden_focal_length = gr.State()
     
     input_image.change(
-        predict_depth,
+        lambda x: (x, x),  # This lambda function returns the image path twice
         inputs=[input_image],
-        outputs=[depth_map, focal_length, raw_depth_csv, hidden_image_path, hidden_focal_length]
+        outputs=[hidden_image_path, input_image]  # Update hidden_image_path and keep the visible input_image
     )
     
     generate_3d_button.click(

history.md

@@ -0,0 +1,18 @@
+# Change Log
+
+## 2024-10-05 21:20 PST
+### 3D Model Generation File Access Error
+- Problem: When attempting to generate the 3D model, an error occurred: "[Errno 2] No such file or directory: '/tmp/tmppgls861k.png'"
+- This suggests that the temporary file created during the depth map generation is not accessible or has been deleted before the 3D model generation process.
+- Next steps: Investigate the file handling in the `create_3d_model` function and ensure temporary files are properly managed and accessible.
+
+## 2024-10-05 21:13 PST
+### CUDA Initialization Error Fix
+- Problem: CUDA was being initialized in the main process, causing an error in the Spaces Stateless GPU environment.
+- Changes made:
+  1. Modified `np.savetxt` to ensure depth is converted to a CPU numpy array if it's a torch.Tensor.
+  2. Explicitly converted `focallength_px` to a float.
+  3. Added more print statements throughout the `predict_depth` function for improved logging and debugging.
+  4. Added a print statement just before returning from the `predict_depth` function to log all return values.
+- These changes aim to prevent CUDA initialization in the main process and provide more detailed logging for troubleshooting.
+