Update app.py

app.py

@@ -100,42 +100,21 @@
 
 # demo.launch(share=True)
 
-
-# import paddle
-# print("PaddlePaddle Version:", paddle.__version__)
-# print("Is GPU available:", paddle.is_compiled_with_cuda())
-# import tensorflow as tf
-# print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
-# import tensorflow as tf
-# print("Where tensorflow is built with cuda:",tf.test.is_built_with_cuda())
-
 import subprocess
-import gradio as gr
-
-def get_nvcc_version():
-    try:
-        nvcc_version = subprocess.check_output(["nvcc", "--version"]).decode("utf-8")
-        return "CUDA Version:\n" + nvcc_version
-    except FileNotFoundError:
-        return "nvcc not found. CUDA may not be installed or not in the system's PATH."
-
-def process_ocr(input_image):
-    # Example OCR processing logic here
-    result = "Processed OCR Result"
-    
-    # Check CUDA status and include it in the output
-    cuda_status = get_nvcc_version()
-    return f"{result}\n\n{cuda_status}"
-
-iface = gr.Interface(
-    fn=process_ocr,
-    inputs="image",
-    outputs="text",
-    title="OCR App with CUDA Check",
-    description="This app checks if CUDA is available and processes OCR."
-)
-
-iface.launch()
+
+try:
+    nvcc_version = subprocess.check_output(["nvcc", "--version"]).decode("utf-8")
+    print("CUDA Version:", nvcc_version)
+except FileNotFoundError:
+    print("nvcc not found. CUDA may not be installed or not in the system's PATH.")
+
+import paddle
+print("PaddlePaddle Version:", paddle.__version__)
+print("Is GPU available:", paddle.is_compiled_with_cuda())
+import tensorflow as tf
+print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
+import tensorflow as tf
+print("Where tensorflow is built with cuda:",tf.test.is_built_with_cuda())