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app.py

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+import gradio as gr
+from transformers import pipeline
+
+model = pipeline("sentiment-analysis")
+
+def analyze_text(text):
+    result = model(text)[0]
+    return {"label": result["label"], "score": float(result["score"])}
+
+demo = gr.Interface(
+    fn=analyze_text,
+    inputs=gr.Textbox(label="Metin gir"),
+    outputs="json"
+)
+
+if __name__ == "__main__":
+    demo.launch(share=True, enable_queue=False)

requirements.txt

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+gradio==3.44.4
+transformers
+torch