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import gradio as gr | |
# Define the classification function | |
def classify_task(prompt): | |
# Here you would implement the logic to classify the prompt | |
# For example, using if-elif-else statements or a machine learning model | |
if 'generate text' in prompt.lower(): | |
return 'Text Generation' | |
elif 'generate image' in prompt.lower(): | |
return 'Image Generation' | |
elif 'pdf chat' in prompt.lower(): | |
return 'PDF Chat' | |
elif 'image to text' in prompt.lower(): | |
return 'Image Text to Text' | |
elif 'classify image' in prompt.lower(): | |
return 'Image Classification' | |
else: | |
return 'Unknown Task' | |
# Create the Gradio interface | |
iface = gr.Interface( | |
fn=classify_task, | |
inputs=gr.Textbox(lines=2, placeholder="Enter your prompt here..."), | |
outputs='text', | |
title='AI Task Classifier Chatbot', | |
description='This chatbot classifies your prompt into different AI tasks.' | |
) | |
# Launch the app | |
if __name__ == "__main__": | |
iface.launch() | |