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| import openai | |
| import gradio as gr | |
| # Set up OpenAI API key | |
| openai_api_key = "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" | |
| # Define a function to call the OpenAI API | |
| def chatbot(input_text): | |
| try: | |
| response = openai.ChatCompletion.create( | |
| model="gpt-3.5-turbo", # You can change this to GPT-4 or others | |
| messages=[ | |
| {"role": "system", "content": "You are a helpful assistant."}, | |
| {"role": "user", "content": input_text}, | |
| ] | |
| ) | |
| return response['choices'][0]['message']['content'].strip() | |
| except Exception as e: | |
| return f"Error: {str(e)}" | |
| # Create the Gradio interface | |
| iface = gr.Interface( | |
| fn=chatbot, | |
| inputs=gr.Textbox(lines=2, placeholder="Type your message here..."), | |
| outputs=gr.Textbox(), | |
| live=True | |
| ) | |
| # Launch the interface | |
| iface.launch() | |