initial comment

app.py

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+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
+demo.launch()

requirements.txt

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+transformers
+gradio
+torch