Debug file path

app.py

@@ -327,35 +327,36 @@ def run_grounded_sam(
         else:
             return [Image.new('RGB', (400, 300), color='gray'), Image.new('RGBA', (400, 300), color=(0, 0, 0, 0))]
 
-def upload_file(file: UploadFile):
-    file_path = os.path.join(UPLOAD_DIR, file.filename)
-    with open(file_path, "wb") as buffer:
-        shutil.copyfileobj(file.file, buffer)
+def upload_file(img_file):
+    file_path = os.path.join(UPLOAD_DIR, 'input_image.png')
+    image.save(file_path)
+    print('file_path = ', file_path)
+    print('hf_file_path = ', f"https://huggingface.co/spaces/rootglitch/CarVizGradioDemo01/{file_path}")
 
     # Return URL
-    return {"url": f"https://huggingface.co/spaces/rootglitch/CarVizGradioDemo01/{file_path}"}
+    return file_path
 
 def generate_ai_bg(input_img, prompt):
     hf_input_img = upload_file(input_img)["url"]
 
-    handler = fal_client.submit(
-        "fal-ai/iclight-v2",
-        arguments={
-            "prompt": prompt,
-            "image_url": hf_input_img
-        },
-        webhook_url="https://optional.webhook.url/for/results",
-    )
+    # handler = fal_client.submit(
+    #     "fal-ai/iclight-v2",
+    #     arguments={
+    #         "prompt": prompt,
+    #         "image_url": hf_input_img
+    #     },
+    #     webhook_url="https://optional.webhook.url/for/results",
+    # )
 
-    request_id = handler.request_id
+    # request_id = handler.request_id
 
-    status = fal_client.status("fal-ai/iclight-v2", request_id, with_logs=True)
+    # status = fal_client.status("fal-ai/iclight-v2", request_id, with_logs=True)
 
-    result = fal_client.result("fal-ai/iclight-v2", request_id)
+    # result = fal_client.result("fal-ai/iclight-v2", request_id)
 
-    ic_light_img = result['images'][0]['url']
+    # ic_light_img = result['images'][0]['url']
 
-    return ic_light_img
+    # return ic_light_img
 
 def generate_image(input_img, prompt):
     ai_gen_image = generate_ai_bg(input_img, prompt)
@@ -371,7 +372,7 @@ def create_ui():
 
         with gr.Row():
             with gr.Column():
-                input_image = gr.Image(type="filepath", label="image")
+                input_image = gr.Image(type="pil", label="image")
                 prompt = gr.Textbox(label="Prompt", placeholder="Enter your prompt here...")
                 run_button = gr.Button(value='Run')