Update app.py

API endpoint eklemesi

app.py

@@ -3,10 +3,8 @@ from transformers import AutoModelForSequenceClassification, AutoTokenizer
 import torch
 import torch.nn.functional as F
 
-# 🌍 Çok dilli sentiment analizi modeli
+# Model
 model_name = "cardiffnlp/twitter-xlm-roberta-base-sentiment"
-
-# Model ve tokenizer
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
@@ -31,17 +29,28 @@ def analyze_text(text):
         "empty": "💬"
     }
 
-    return {"label": top_label, "emoji": emoji_map[top_label], "scores": scores}
+    return {
+        "label": top_label,
+        "emoji": emoji_map[top_label],
+        "scores": scores
+    }
+
+# ✅ API olarak çalışan bir endpoint
+def api_predict(text: str):
+    result = analyze_text(text)
+    return result
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🌍 Multilingual Sentiment Analyzer")
+
+    with gr.Row():
+        input_text = gr.Textbox(label="Metin")
+        output_json = gr.JSON(label="Sonuç")
+
+    input_text.change(fn=analyze_text, inputs=input_text, outputs=output_json)
 
-# Gradio arayüzü
-iface = gr.Interface(
-    fn=analyze_text,
-    inputs=gr.Textbox(label="Metin Gir / Enter Text"),
-    outputs="json",
-    title="🌍 Multilingual Sentiment Analyzer",
-    description="Analyzes text sentiment in multiple languages (English, Turkish, etc.)",
-)
+# ✅ API endpoint: /api/predict
+demo.add_api_route("/api/predict", api_predict, methods=["POST"])
 
-# 🔹 Düzeltilmiş launch
-iface.queue()  # çoklu isteklerde sıraya almak için (isteğe bağlı)
-iface.launch(server_name="0.0.0.0", server_port=7860)  # artık enable_queue yok
+demo.queue()
+demo.launch(server_name="0.0.0.0", server_port=7860)