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app.py

@@ -1,7 +1,27 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+from transformers import pipeline
+import gradio as gr
+
+# Hugging Face'den Türkçe Sentiment Analysis Pipeline Yükleme
+sentiment_pipeline = pipeline(
+    "sentiment-analysis",
+    model="savasy/bert-base-turkish-sentiment-cased"
+)
+
+# Analiz Fonksiyonu
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)
+    label = result[0]['label']  # Pozitif/Negatif
+    score = result[0]['score']  # Güven skoru
+    return f"Duygu: {label}, Güven Skoru: {score:.2f}"
+
+# Gradio Arayüzü
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs="text",
+    outputs="text",
+    title="Türkçe Duygu Analizi",
+    description="Bir cümle girin ve Türkçe duygu analizini yapın (Pozitif, Negatif, Nötr)."
+)
+
+# Uygulamayı Başlat
+interface.launch()

requirements.txt

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