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import openai
import gradio as gr
import os
openai.api_key = os.getenv("OPENAI_API_KEY") # Set this in your HF Space secret settings
def chat_with_gpt4(user_question):
# Few-shot prompt context
prompt = f"""
You are a helpful customer support assistant.
Q: What is the return policy?
A: You can return items within 30 days if they are in original condition.
Q: How do I track my order?
A: You will receive a tracking number via email once your order is shipped.
Q: What payment methods do you accept?
A: We accept credit cards, PayPal, and bank transfers.
Q: {user_question}
A:
"""
try:
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[
{"role": "system", "content": "You are a helpful customer support assistant."},
{"role": "user", "content": prompt}
],
temperature=0.3,
max_tokens=150,
)
return response['choices'][0]['message']['content'].strip()
except Exception as e:
return f"Error: {str(e)}"
iface = gr.Interface(
fn=chat_with_gpt4,
inputs=gr.Textbox(lines=2, placeholder="Ask a customer service question..."),
outputs=gr.Textbox(label="GPT-4 Response"),
title="Few-Shot Customer Support Chatbot (GPT-4)",
description="This chatbot uses GPT-4 with few-shot prompting to answer customer support questions."
)
if __name__ == "__main__":
iface.launch()
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