added app

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, TextClassificationPipeline
+
+tokenizer = AutoTokenizer.from_pretrained("daspartho/anime-or-not")
+model = AutoModelForSequenceClassification.from_pretrained("daspartho/anime-or-not") # i've uploaded the model on HuggingFace :)
+
+label_map = {
+    'LABEL_0':"That's not Anime enough!",
+    'LABEL_1':"That's a Anime!",
+}
+
+pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer)
+
+def classify_text(plot):
+    return label_map[pipe(plot)[0]['label']]
+
+iface = gr.Interface(
+    description = "Write a plot, and the model will tell if you if it's anime-worthy",
+    article = "<p style='text-align: center'><a href='https://github.com/daspartho/anime-worthy' target='_blank'>Github</a></p>",
+    fn=classify_text, 
+    inputs=gr.inputs.Textbox(label="Type the plot here",), 
+    outputs=gr.outputs.Textbox(label='What the model thinks'),
+    live=True,
+    enable_queue=True
+    )
+iface.launch()

requirements.txt

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+transformers 
+torch
+gradio