Update app.py

app.py

@@ -5,7 +5,7 @@ import gradio as gr
 import torch
 import easyocr
 
-# Download examples
+# Download example images
 urls = {
     "english.png": "https://github.com/JaidedAI/EasyOCR/raw/master/examples/english.png",
     "thai.jpg": "https://github.com/JaidedAI/EasyOCR/raw/master/examples/thai.jpg",
@@ -38,7 +38,16 @@ def inference(img_file, lang):
     df.columns = ["text", "confidence"]
     return "result.jpg", df
 
-choices = [ ... (list tetap sama) ... ]
+choices = [
+    "abq","ady","af","ang","ar","as","ava","az",
+    "be","bg","bh","bho","bn","bs","ch_sim","ch_tra",
+    "che","cs","cy","da","dar","de","en","es","et","fa","fr","ga",
+    "gom","hi","hr","hu","id","inh","is","it","ja","kbd","kn","ko",
+    "ku","la","lbe","lez","lt","lv","mah","mai","mi","mn","mr","ms",
+    "mt","ne","new","nl","no","oc","pi","pl","pt","ro","ru","rs_cyrillic",
+    "rs_latin","sck","sk","sl","sq","sv","sw","ta","tab","te","th","tjk",
+    "tl","tr","ug","uk","ur","uz","vi"
+]
 
 examples = [
     ["english.png", ["en"]],
@@ -52,17 +61,18 @@ examples = [
 
 with gr.Blocks(css=".output_image, .input_image {height: 40rem; width: 100%;}") as demo:
 
-    gr.Markdown("# **EasyOCR**")
+    gr.Markdown("# **EasyOCR Web Interface**")
+    gr.Markdown("Upload an image, select languages, and run OCR.")
 
     with gr.Row():
         file_input = gr.File(label="Upload Image", file_types=["image"])
-        lang_input = gr.CheckboxGroup(choices=choices, value=["en"], label="Language")
+        lang_input = gr.CheckboxGroup(choices=choices, value=["en"], label="Languages")
 
     run_btn = gr.Button("Run OCR")
 
     with gr.Row():
         output_img = gr.Image(label="Detected Image")
-        output_df = gr.Dataframe(headers=["text", "confidence"])
+        output_df = gr.Dataframe(headers=["text", "confidence"], label="Detected Text")
 
     gr.Examples(examples, [file_input, lang_input], [output_img, output_df], fn=inference)