Update app.py

app.py

@@ -25,7 +25,10 @@ tokenizer = AutoTokenizer.from_pretrained(model_path)
 print("Loaded tokenizer")
 title = "Hindi Image Captioning"
 description = ""
-input = gr.inputs.Image(type="pil")
+
+input = gr.inputs.Image(label="Image to search", type = 'pil', optional=False)
+output = gr.outputs.Textbox(type="auto",label="Captions")
+
 #example_images = sorted([f.as_posix() for f in Path("examples").glob("*.jpg")])
 #print(f"Loaded {len(example_images)} example images")
 article = "This huggingface presents a demo for Image captioning in Hindi built with VIT Encoder and GPT2 Decoder"
@@ -41,8 +44,20 @@ article = "This huggingface presents a demo for Image captioning in Hindi built
   
 )'''
 
-#inp=gr.inputs.Textbox(lines=1, placeholder=None, default="", label="search you query here")
+'''#inp=gr.inputs.Textbox(lines=1, placeholder=None, default="", label="search you query here")
 output = gr.outputs.Textbox(type="auto",label="Captions")
 
 interface = gr.Interface(fn=predict, inputs=input, outputs=output,article=article,title=title,theme="huggingface",layout='vertical')
-interface.launch(share=True)
+interface.launch(share=True)'''
+
+cat_image = "./example_1.jpg"
+dog_image = "./example_2.jpg"
+iface = gr.Interface(
+        fn=predict,
+        inputs = input,
+        theme="grass",
+        outputs=output,
+        title=title,
+        description=article,
+    )
+    iface.launch()