a

app.py

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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()

requirements.txt

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+openai
+gradio