add something

app.py

@@ -1,23 +1,23 @@
-import gradio as gr
-from transformers import pipeline
-
-# Pipeline-ni o'rnatish
-pipe = pipeline("text-classification", model="AbrorBalxiyev/my_awesome_model")
-
-# Klassifikatsiya funksiyasi
-def classify_text(text):
-    results = pipe(text)
-    output = {result['label']: f"{result['score'] * 100:.2f}%" for result in results}
-    return output
-
-# Gradio interfeysini yaratish
-with gr.Blocks() as demo:
-    gr.Markdown("## Text Classification Pipeline")
-    text_input = gr.Textbox(label="Enter Text", placeholder="Type something here...")
-    output_label = gr.Label(label="Classification Results")
-    classify_button = gr.Button("Classify")
-    
-    classify_button.click(classify_text, inputs=text_input, outputs=output_label)
-
-# Interfeysni ishga tushirish
+import gradio as gr
+from transformers import pipeline
+
+# Pipeline-ni o'rnatish
+pipe = pipeline("text-classification", model="AbrorBalxiyev/my_awesome_model")
+
+# Klassifikatsiya funksiyasi
+def classify_text(text):
+    results = pipe(text)
+    output = {result['label']: f"{result['score'] * 100:.2f}%" for result in results[0]}
+    return output
+
+# Gradio interfeysini yaratish
+with gr.Blocks() as demo:
+    gr.Markdown("## Text Classification Pipeline")
+    text_input = gr.Textbox(label="Enter Text", placeholder="Type something here...")
+    output_label = gr.Label(label="Classification Results")
+    classify_button = gr.Button("Classify")
+    
+    classify_button.click(classify_text, inputs=text_input, outputs=output_label)
+
+# Interfeysni ishga tushirish
 demo.launch()