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