Creating Hugging face aplication

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+import torch
+
+model_name = "dancrvlh/Language"
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+mapping = {
+2:"English",
+3:"French",
+4:"Portugeese",
+5:"Russian",
+6:"Sweedish",
+7:"unknow"
+}
+
+def predict(text):
+    inputs = tokenizer(text, return_tensors="pt")
+
+    outputs = model(**inputs)
+    predictions = outputs.logits
+
+    return mapping[round(predictions.item())]
+
+iface = gr.Interface(
+    fn=predict,
+    inputs="text",
+    outputs="text",
+    layout="vertical",
+    title="Language Detection",
+    description="This model can detect the language your text for English, French, Portugeese, Russian, Sweedish and Unknow",
+)
+
+iface.launch(share=True)

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+transformes
+torch