first commit

app.py

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+import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model_name = "./model.pkl"
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+
+def classify_text(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model(**inputs)
+    predictions = outputs.logits.argmax(dim=1)
+
+    return f"Predicted class: {predictions.item()}"
+
+
+iface = gr.Interface(fn=classify_text, inputs="text", outputs="text")
+
+iface.launch()

requirements.txt

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+gradio==2.1.2
+transformers==4.13.0
+torch==1.10.0