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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() | |