Update app.py

app.py

@@ -1,8 +1,20 @@
 import gradio as gr
+import torch
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-iface = gr.Interface.load("models/gsar78/Greek_Sentiment")
+model = AutoModelForSequenceClassification.from_pretrained("gsar78/Greek_Sentiment")
+tokenizer = AutoTokenizer.from_pretrained("gsar78/Greek_Sentiment")
 
-iface.launch(
+def predict(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    outputs = model(**inputs)
+    scores = torch.nn.functional.softmax(outputs.logits, dim=1)
+    return {"Positive": scores[:, 1].item(), "Negative": scores[:, 0].item()}
+
+iface = gr.Interface(
+    fn=predict,
+    inputs="text",
+    outputs="label",
     title="Hellenic Sentiment AI",
     description=None,
     article=None,
@@ -18,4 +30,6 @@ iface.launch(
     show_input=True,
     show_output=True,
     footer="Development by Geo Sar"
-)
+)
+
+iface.launch()