migrate to open ai

app_openai.py

@@ -0,0 +1,85 @@
+import os
+import gradio as gr
+from openai import OpenAI
+
+# Initialize OpenAI client
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
+# Streaming response function
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    segment_profile,
+    value_proposition,
+    promotion,
+    subject,
+    ask_for_subject_suggestions,
+    max_tokens,
+    temperature,
+    top_p,
+):
+    # Compose enhanced system message
+    enhanced_system_message = (
+        f"{system_message}\n\n"
+        f"Segment Profile: {segment_profile}\n"
+        f"Value Proposition: {value_proposition}\n"
+        f"Goal and Promotion: {promotion}\n"
+        f"Subject Line: {subject}\n"
+    )
+
+    if ask_for_subject_suggestions:
+        enhanced_system_message += " The user is also asking for subject line suggestions to catch their customer's attention and improve Email Open Rate."
+
+    # Build message history
+    messages = [{"role": "system", "content": enhanced_system_message}]
+    for user_msg, assistant_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if assistant_msg:
+            messages.append({"role": "assistant", "content": assistant_msg})
+    messages.append({"role": "user", "content": message})
+
+    # Stream response from OpenAI
+    response_text = ""
+    try:
+        response = client.chat.completions.create(
+            model="gpt-4o",  # or "gpt-4o-mini" when available
+            messages=messages,
+            max_tokens=max_tokens,
+            temperature=temperature,
+            top_p=top_p,
+            stream=True,
+        )
+        for chunk in response:
+            if chunk.choices and chunk.choices[0].delta.content:
+                token = chunk.choices[0].delta.content
+                response_text += token
+                yield response_text
+    except Exception as e:
+        yield f"❌ An error occurred: {str(e)}"
+
+# Gradio interface
+demo = gr.ChatInterface(
+    fn=respond,
+    additional_inputs=[
+        gr.Textbox(
+            value="You are a friendly Chatbot, a digital marketing expert and a talented copywriter. You are trying to help a user write a creative email that can achieve campaign goals, a high Open Rate, CTR and conversion rate - based on user input.",
+            label="Instructions to Bot",
+        ),
+        gr.Textbox(label="Your Target Customer Segment Profile", placeholder="Describe the profile of your target customer segment (e.g., age, gender, interests, profession)"),
+        gr.Textbox(label="Your Value Proposition", placeholder="Describe how your solution to customer problems offers them unique value"),
+        gr.Textbox(label="Campaign Goal, Special Event, Promotion and Call to Action", placeholder="Describe your campaign goal, a special event, promotion and Call to Action that you hope your target segment will act upon"),
+        gr.Textbox(label="Subject Line", placeholder="Enter the Subject Line of the Email or ask for suggestions"),
+        gr.Checkbox(label="Ask for Subject Line Suggestions", value=False),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
+    ],
+    title="Email Copywriter",
+    description="This app creates a customized email that resonates with your customers to improve CTR and conversion. Based on your input. Powered by OpenAI GPT-4o. Developed by wn. Disclaimer: AI makes mistakes. Use with caution and at your own risk!",
+    type="messages",
+)
+
+if __name__ == "__main__":
+    demo.launch()