Create app.py

app.py

@@ -0,0 +1,53 @@
+import gradio as gr
+from gradio_client import Client
+
+fuse_client = Client("https://noamrot-fusecap-image-captioning.hf.space/")
+clipi_client = Client("https://fffiloni-clip-interrogator-2.hf.space/")
+
+def compare(image):
+    
+    ci_cap = clipi_client.predict(
+		image,	# str (filepath or URL to image) in 'parameter_3' Image component
+		"best",	# str in 'Select mode' Radio component
+		2,	# int | float (numeric value between 2 and 24) in 'best mode max flavors' Slider component
+		api_name="/clipi2"
+    )
+    
+    fuse_cap = fuse_client.predict(
+		image,	# str representing input in 'raw_image' Image component
+		api_name="/predict"
+    )
+
+    coca_cap = "comming soon..."
+    
+    return ci_cap, coca_cap, fuse_cap
+
+
+with gr.Blocks() as demo:
+    with gr.Column():
+        gr.Markdown("""
+        # Caption compare
+        """)
+
+        with gr.Row():
+            with gr.Column():
+                image_in = gr.Image(label="Image to caption", type="filepath")
+                submit_btn = gr.Button("Compare !")
+            with gr.Column():
+                clip_int_out = gr.Textbox(label="Clip Interrogator")
+                coca_out = gr.Textbox(label="CoCa")
+                fuse_out = gr.Textbox(label="Fuse Cap")
+
+    submit_btn.click(
+        fn = compare,
+        inputs = [
+            image_in
+        ],
+        outputs = [
+            clip_int_out,
+            coca_out,
+            fuse_out
+        ]
+    )
+
+demo.queue().launch()