Add application file

app.py

@@ -1,7 +1,28 @@
 import gradio as gr
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Buraya İngilizce modelinizi yazın
+model_en = AutoModelForSequenceClassification.from_pretrained("OsBaran/Roberta-Classification-Model")
+tokenizer_en = AutoTokenizer.from_pretrained("roberta-base")
+classifier_en = pipeline("sentiment-analysis", model=model_en, tokenizer=tokenizer_en)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Türkçe modelini yükle
+model_tr_name = "dbmdz/bert-base-turkish-cased"  # Buraya Türkçe modelinizi yazın
+model_tr = AutoModelForSequenceClassification.from_pretrained(model_tr_name)
+tokenizer_tr = AutoTokenizer.from_pretrained(model_tr_name)
+classifier_tr = pipeline("sentiment-analysis", model=model_tr, tokenizer=tokenizer_tr)
+
+# Gradio ile API oluştur
+def predict(text, language):
+    if language == "en":
+        result = classifier_en(text)
+    elif language == "tr":
+        result = classifier_tr(text)
+    else:
+        result = {"error": "Unsupported language"}
+    return result
+
+# Arayüz
+gr.Interface(fn=predict, 
+             inputs=[gr.Textbox(label="Text Input"), gr.Dropdown(["en", "tr"], label="Language")], 
+             outputs="json").launch()