Update app.py

app.py

@@ -56,7 +56,7 @@ img_cap_en_ar = gr.Interface(
              gr.HTML(label='Arabic Caption')],
     title='Image Captioning | وصف الصورة',
     description="Upload an image to generate an English & Arabic caption | قم برفع صورة وأرسلها ليظهر لك وصف للصورة",
-    examples =[["image_0.png"], ["image_1.png"], ["image_2.png"]]
+    examples =[["image_2.png"]]
 )
 
 
@@ -90,7 +90,7 @@ text_recognition = gr.Interface(
     outputs=[gr.Textbox(label='Extracted text'), gr.HTML(label= 'Translateted of Extracted text ')],   # Output is text
     title="Text Extraction and Translation | إستخراج النص وترجمتة",
     description="Upload an image then Submet to extract text and translate it to Arabic| قم برفع الصورة وأرسلها ليظهر لك النص من الصورة",
-    examples =[["tx_image_0.png"], ["tx_image_2.png"]],
+    examples =[["tx_image_0.png"]],
 )
 
 # Load trocr model for handwritten text extraction
@@ -122,9 +122,11 @@ handwritten_rec = gr.Interface(
              gr.HTML(label='Arabic Text')],
     title="Handwritten Text Extraction | | إستخراج النص المكتوب بخط اليد وترجمتة",
     description="Upload an image then Submet to extract text and translate it to Arabic| قم برفع الصورة وأرسلها ليظهر لك النص من الصورة",
-    examples =[["tx_image_1.png"], ["tx_image_3.png"]]
+    examples =[["tx_image_1.png"]]
 )
 
 # Combine all interfaces into a tabbed interface
 demo = gr.TabbedInterface([img_cap_en_ar, text_recognition, handwritten_rec], ["Extract_Caption", " Extract_Digital_text", " Extract_HandWritten_text"])
-demo.launch(debug=True, share=True)
+demo.launch(debug=True)
+if __name__ == "__main__":
+    app.run(host= "0.0.0.0", port=7860)