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| import gradio as gr | |
| import openai | |
| from openai._client import OpenAI | |
| openai.api_key = "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" | |
| def get_text_response(user_message): | |
| client = OpenAI( ) | |
| response = client.chat.completions.create( | |
| model="gpt-3.5-turbo", | |
| messages=[{"role": "user", "content": user_message}],) | |
| return response | |
| def get_image_response(user_message): | |
| client = OpenAI() | |
| response = client.images.generate( | |
| model="dall-e-3", | |
| prompt=user_message, | |
| ) | |
| image_url = response | |
| return image_url | |
| # Function to get user input and display results | |
| def chat_interface(input_text): | |
| text_response = get_text_response(input_text) | |
| image_url = get_image_response(input_text) | |
| print("Text Response:", text_response) | |
| print("Generated Image URL:", image_url) | |
| # Create Gradio interface | |
| gr.Interface(fn=chat_interface, inputs="text", outputs="text").launch(debug=True) | |