Update app.py

app.py

@@ -1,3 +1,60 @@
 import gradio as gr
+import torch
+from transformers import pipeline
 
-gr.Interface.load("models/tkurtulus/Turkish-AI-rlines-SentimentAnalysis").launch()
+model = pipeline(task="sentiment-analysis", model="tkurtulus/Turkish-AI-rlines-SentimentAnalysis")
+
+def sentiment_analysis(text):
+    res = model(text)[0]
+    res_label = {}
+    if res["label"] == "positive":
+        res_label["positive"] = res["score"]
+        res_label["negative"] = 1 - res["score"]
+        res_label["neutral"] = 1 - res["score"]
+    if res["label"] == "negative":
+        res_label["negative"] = res["score"]
+        res_label["positive"] = 1 - res["score"]
+        res_label["neutral"] = 1 - res["score"]
+    if res["label"] == "neutral":
+        res_label["neutral"] = res["score"]
+        res_label["positive"] = 1 - res["score"]
+        res_label["negative"] = 1 - res["score"]
+    return res_label
+
+custom_css = """
+#component-0 {
+    max-width: 600px;
+    margin: 0 auto;
+}
+
+h1,h2 {
+    text-align: center;
+}
+
+a {
+    color: #77b3ee !important;
+    text-decoration: none !important;
+}
+
+a:hover {
+    text-decoration: underline !important;
+}
+"""
+
+browser_tab_title = "Sentiment Analysis"
+intro_markdown = """## Sentiment Analysis
+
+Using the [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) model, trained on movie reviews."""
+
+with gr.Blocks(title=browser_tab_title, css=custom_css) as demo:
+    with gr.Row():
+        with gr.Column():
+            title = gr.Markdown(intro_markdown)
+            text_input = gr.Textbox(placeholder="Enter a positive or negative sentence here...", label="Text")
+            label_output = gr.Label(label="Sentiment outcome")
+            button_run = gr.Button("Compute sentiment")
+            button_run.click(sentiment_analysis, inputs=text_input, outputs=label_output)
+            gr.Examples(["That's great!", "The movie was bad.", "How are you"], text_input)
+
+if __name__ == "__main__":
+    demo.launch()