upgrade pip

app.py

@@ -27,7 +27,7 @@ def concat_images(*images):
     # Add up all the heights.
     height = max(image.height for image in images)
     # set the correct size of width and heigtht of composite.
-    composite = Image.new('RGB', (2 * width, 2 * height))
+    composite = Image.new("RGB", (2 * width, 2 * height))
     assert K == 4, "We expect 4 suggestions, other numbers won't work."
     for i, image in enumerate(images):
         if i == 0:
@@ -46,14 +46,18 @@ def get_tag(emoji, tags, model=model, processor=processor, K=4):
         tags = tags.strip().split(",")
     else:
         tags = adjectives
-    inputs = processor(text=tags, images=emoji, return_tensors="pt", padding=True, truncation=True)
+    inputs = processor(
+        text=tags, images=emoji, return_tensors="pt", padding=True, truncation=True
+    )
     outputs = model(**inputs)
 
     # we take the softmax to get the label probabilities
     probs = outputs.logits_per_text.softmax(dim=0)
     probs_formatted = torch.tensor([prob[0] for prob in probs])
     values, indices = probs_formatted.topk(K)
-    return "Tag (confidence): " + ", ".join([f"{tags[i]} ({round(v.item(), 2)})" for v, i in zip(values, indices)])
+    return "Tag (confidence): " + ", ".join(
+        [f"{tags[i]} ({round(v.item(), 2)})" for v, i in zip(values, indices)]
+    )
 
 
 title = "Tagging an Emoji"
@@ -64,13 +68,21 @@ You can also specify your own custom tags, for example; love,hate,fun,bitterness
 
 examples = [[f"emojis/{i}.png"] for i in range(32)]
 
-text = gr.inputs.Textbox(placeholder="Enter a text and we will try to predict an emoji...")
-gr.Interface(fn=get_tag, inputs=[gr.components.Image(type="pil", label="emoji"),
-                                 gr.components.Textbox(label="tags",
-                                                       placeholder="Provide a comma seperated list of tags; tag1,tag2,tag3,...")],
-             outputs=gr.Textbox(),
-             examples=examples,
-             examples_per_page=32,
-             title=title,
-             description=description,
-             ).launch()
+text = gr.inputs.Textbox(
+    placeholder="Enter a text and we will try to predict an emoji..."
+)
+gr.Interface(
+    fn=get_tag,
+    inputs=[
+        gr.components.Image(type="pil", label="emoji"),
+        gr.components.Textbox(
+            label="tags",
+            placeholder="Provide a comma seperated list of tags; tag1,tag2,tag3,...",
+        ),
+    ],
+    outputs=gr.Textbox(),
+    examples=examples,
+    examples_per_page=32,
+    title=title,
+    description=description,
+).launch()

requirements.txt

@@ -42,7 +42,7 @@ packaging==21.3
 pandas==1.4.4
 paramiko==2.11.0
 Pillow==9.2.0
-pip==22.1.2
+pip==22.2.2
 pycparser==2.21
 pycryptodome==3.15.0
 pydantic==1.10.2
@@ -73,6 +73,3 @@ uvicorn==0.18.3
 websockets==10.3
 wheel==0.37.1
 yarl==1.8.1
-
-[notice] A new release of pip available: 22.1.2 -> 22.2.2
-[notice] To update, run: pip install --upgrade pip