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| import os | |
| import gradio as gr | |
| from openai import OpenAI | |
| # Initialize the OpenAI client | |
| client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY")) | |
| # Response generation with streaming | |
| def respond( | |
| message, | |
| history: list[dict], | |
| system_message, | |
| customer_profile, | |
| customer_goals, | |
| company_solution, | |
| main_topic, | |
| ask_for_topic_suggestions, | |
| max_tokens, | |
| temperature, | |
| top_p, | |
| ): | |
| # Compose system message | |
| enhanced_system_message = ( | |
| f"{system_message}\n\n" | |
| f"Customer Profile: {customer_profile}\n" | |
| f"Customer Goals, Pain Points, Obstacles, Wishes and Preferences: {customer_goals}\n" | |
| f"Company solutions, products or services, value proposition and differentiators to solve customer problem: {company_solution}\n" | |
| f"Main Topic: {main_topic}\n" | |
| ) | |
| if ask_for_topic_suggestions: | |
| enhanced_system_message += "\nThe user is also asking for topic suggestions to address their customer's needs." | |
| # Format messages | |
| messages = [{"role": "system", "content": enhanced_system_message}] | |
| for m in history: | |
| messages.append({"role": "user", "content": m["user"]}) | |
| if m.get("assistant"): | |
| messages.append({"role": "assistant", "content": m["assistant"]}) | |
| messages.append({"role": "user", "content": message}) | |
| # Stream OpenAI response | |
| response_text = "" | |
| try: | |
| response = client.chat.completions.create( | |
| model="gpt-4o-mini", # or other model as 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 definition | |
| 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 post to improve their SEO based on their input.", | |
| label="Instructions to Bot", | |
| ), | |
| gr.Textbox(label="Your Customer Profile", placeholder="Describe your customer profile (e.g., age, interests, profession)"), | |
| gr.Textbox( | |
| label="Customer Goals, Pain Points, Obstacles, Wishes and Preferences", | |
| placeholder="Describe your customer's goals, pain points, concerns, obstacles, wishes, and preferences", | |
| ), | |
| gr.Textbox( | |
| label="Company solutions, products or services", | |
| placeholder="Describe your company's solutions, products or services, value proposition and differentiators", | |
| ), | |
| gr.Textbox(label="Main Topic", placeholder="Enter the main topic of the post"), | |
| gr.Checkbox(label="Ask for Topic 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="SEO Assistant", | |
| description=( | |
| "This app provides customized content that resonates with your customers to improve your SEO. " | |
| "Based on your input. Powered by OpenAI GPT-4o-mini and domain expertise. " | |
| "Expand Additional Inputs by clicking on the arrow, input more details about your customers, then a message describing what you need the assistant to do for you. " | |
| "Developed by wn. Disclaimer: AI can make mistakes. Use with caution and at your own risk!" | |
| ), | |
| type="messages", # ensures compatibility with Gradio streaming ChatInterface | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |