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app.py

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+import gradio as gr
+from transformers import pipeline
+
+def generate_ticket(issue_description):
+    model_name = "AventIQ-AI/bart_customer_ticket_raiser"
+    generator = pipeline("text2text-generation", model=model_name)
+    response = generator(issue_description, max_length=50, num_return_sequences=1)
+    return response[0]['generated_text']
+
+examples = [
+    ["My internet is not working for the past 3 hours."],
+    ["I am unable to log in to my account despite entering the correct credentials."],
+    ["The mobile app keeps crashing whenever I try to make a payment."],
+    ["I received a defective product and need a replacement."]
+]
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 📩 Customer Ticket Generator")
+    gr.Markdown("Enter a customer issue, and the model will generate a structured support ticket.")
+    
+    with gr.Row():
+        input_text = gr.Textbox(label="Customer Issue Description", placeholder="Describe your issue here...", lines=3)
+    
+    generate_btn = gr.Button("Generate Ticket 📝")
+    output_text = gr.Textbox(label="Generated Support Ticket")
+    
+    generate_btn.click(generate_ticket, inputs=[input_text], outputs=[output_text])
+    
+    gr.Examples(examples, inputs=[input_text])
+
+demo.launch()

requirements.txt

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+torch
+transformers
+gradio
+sentencepiece
+torchvision
+huggingface_hub
+pillow
+numpy