Update app.py

app.py

@@ -1,52 +1,24 @@
-import spaces
-import datetime
-import os
-import subprocess
-import torch
-import gradio as gr
-
-CUSTOM_CSS = """
-#output_box textarea {
-    font-family: IBM Plex Mono, ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
-}
-"""
-
-zero = torch.Tensor([0]).cuda()
-print(zero.device) # <-- 'cpu' 🤔
-
-@spaces.GPU
-def run_gpu() -> str:
-    print(zero.device) # <-- 'cuda:0' 🤗
-    output: str = ""
-    try:
-        output = subprocess.check_output(["nvidia-smi"], text=True)
-    except FileNotFoundError:
-        output = "nvidia-smi failed"
-    comment = (
-        datetime.datetime.now().replace(microsecond=0).isoformat().replace("T", " ")
-    )
-    return f"# {comment}\n\n{output}"
-
-def run(check: bool) -> str:
-    if check:
-        return run_gpu()
-    else:
-        comment = (
-            datetime.datetime.now().replace(microsecond=0).isoformat().replace("T", " ")
-        )
-        return f"# {comment}\n\nThis is running on CPU\n\nClick on 'Run on GPU' below to move to GPU instantly and run nvidia-smi"
-
-output = gr.Textbox(
-    label="Command Output", max_lines=32, elem_id="output_box", value=run(False)
-)
-
-with gr.Blocks(css=CUSTOM_CSS) as demo:
-    gr.Markdown("#### `zero-gpu`: how to run no on serverless GPU for free on Spaces 🔥")
-
-    output.render()
-
-    check = gr.Checkbox(label="Run on GPU")
-
-    check.change(run, inputs=[check], outputs=output, every=1)
-
-demo.queue().launch(show_api=False)
+import streamlit as st
+import easyocr
+from PIL import Image
+import numpy as np
+
+# โหลด EasyOCR ด้วย GPU
+reader = easyocr.Reader(['en','th'], gpu=True)
+
+st.title("EasyOCR (GPU) - Fast OCR")
+st.write("Upload an image to extract text using GPU acceleration")
+
+uploaded_file = st.file_uploader("Choose an image...", type=["png", "jpg", "jpeg"])
+
+if uploaded_file is not None:
+    image = Image.open(uploaded_file)
+    st.image(image, caption='Uploaded Image', use_column_width=True)
+
+    if st.button("Run OCR"):
+        # แปลงภาพเป็น numpy array
+        img_array = np.array(image)
+        # ใช้ detail=0 ให้คืนแค่ข้อความ
+        result = reader.readtext(img_array, detail=0, paragraph=True)
+        # แสดงผล
+        st.text_area("Detected Text", "\n".join(result), height=300)