Create app.py

app.py

@@ -0,0 +1,26 @@
+# app.py
+
+from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
+import gradio as gr
+
+model_name = "HooshvareLab/bert-fa-base-uncased-sentiment-digikala"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+sentiment_analyzer = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
+
+def analyze_sentiment(text):
+    result = sentiment_analyzer(text)[0]
+    label = result['label']
+    score = round(result['score'], 3)
+    return f"نتیجه: {label} ({score})"
+
+iface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="متن خود را وارد کنید..."),
+    outputs="text",
+    title="تحلیل احساسات متون فارسی",
+    description="مدلی برای تشخیص مثبت، منفی یا خنثی بودن متن فارسی."
+)
+
+iface.launch()