Update app.py

app.py

@@ -1,19 +1,23 @@
 import gradio as gr
-from sentence_transformers import SentenceTransformer, util
+from sentence_transformers import SentenceTransformer
+import numpy as np
+import json
 
+# Modeli yükle
 model = SentenceTransformer('sentence-transformers/paraphrase-mpnet-base-v2')
 
-def compute_similarity(text1, text2):
-    embeddings = model.encode([text1, text2])
-    similarity = util.cos_sim(embeddings[0], embeddings[1])
-    return float(similarity)
+# Embedding hesaplama fonksiyonu
+def get_embedding(text):
+    embedding = model.encode(text)
+    return json.dumps(embedding.tolist())  # JSON formatında döndür
 
+# Gradio arayüzü
 iface = gr.Interface(
-    fn=compute_similarity,
-    inputs=["text", "text"],
-    outputs="number",
-    title="Sentence Similarity with paraphrase-mpnet-base-v2",
-    description="Compute the cosine similarity between two sentences."
+    fn=get_embedding,
+    inputs=gr.Textbox(lines=2, placeholder="Metni buraya girin..."),
+    outputs="text",
+    title="paraphrase-mpnet-base-v2 Embedding API",
+    description="Metni girin ve modelin embedding çıktısını JSON formatında alın."
 )
 
 iface.launch()