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Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Load your fine-tuned model from Hugging Face
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generator = pipeline(
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"text-generation",
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model="shibly100/gpt2_corporate_leadership"
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)
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# Define function
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def chat_with_ai(prompt):
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response = generator(prompt, max_length=200, do_sample=True)
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return response[0]["generated_text"]
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# Create Gradio Interface
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demo = gr.Interface(
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fn=chat_with_ai,
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inputs="
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outputs="text",
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title="SPARKY Corporate Leadership AI",
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description="Ask anything about corporate leadership!"
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)
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# Launch the
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import gradio as gr
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from transformers import pipeline
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# Load your fine-tuned Corporate Leadership model from Hugging Face
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generator = pipeline("text-generation", model="shibly100/gpt2_corporate_leadership")
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# Define chatbot function
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def chat_with_ai(prompt):
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response = generator(prompt, max_length=200, do_sample=True)
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return response[0]["generated_text"]
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# Create the Gradio Chatbot Interface
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demo = gr.Interface(
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fn=chat_with_ai,
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inputs=gr.Textbox(lines=3, placeholder="Ask anything about corporate leadership..."),
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outputs="text",
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title="SPARKY Corporate Leadership AI",
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description="Ask anything about corporate leadership and get AI-powered insights!",
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allow_flagging="never",
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)
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# Launch the chatbot
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demo.launch()
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