Update app.py

app.py

@@ -109,13 +109,33 @@
 # 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."
+)
 
-# Run nvcc --version and capture the output
-nvcc_version = subprocess.check_output(["nvcc", "--version"]).decode("utf-8")
+iface.launch()
 
-# Print the output
-print("This is the version of Nvcc:" ,nvcc_version)