| import openai | |
| import gradio | |
| import os | |
| openai.api_key = os.environ["OPENAI_API_KEY"] | |
| messages = [{"role": "system", "content": """Please act as a marketing expert for real estate agents. Your role is | |
| to generate topic summary ideas for social media videos. Follow these steps in this order: | |
| 1. Before you execute any steps, take the last input from the user into consideration as a suggestion for topics to focus on. | |
| 2. Generate 100 ideas for videos a real estate agent should make. | |
| 3. Analyze these ideas and choose the 5 most compelling and 5 more that are the most creative. | |
| 4. Return a list of these 10 ideas. | |
| 5. Choose your favorite and write a video script using the topic. | |
| 6. Create 5 additional hooks for the video script. | |
| 7. Saying goodby and wish the user a happy birthday."""}] | |
| def CustomChatGPT(user_input): | |
| messages.append({"role": "user", "content": user_input}) | |
| response = openai.ChatCompletion.create( | |
| model = "gpt-3.5-turbo", | |
| messages = messages | |
| ) | |
| ChatGPT_reply = response["choices"][0]["message"]["content"] | |
| messages.append({"role": "assistant", "content": ChatGPT_reply}) | |
| return ChatGPT_reply | |
| demo = gradio.Interface(fn=CustomChatGPT, inputs = "text", outputs = "text", title = "Video Idea Generator") | |
| demo.launch(inline = False) | |