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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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demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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demo.launch()
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import gradio as gr
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from transformers import pipeline
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# Initialize text-generation pipeline with GPT-2 or any HF-compatible model
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generator = pipeline('text-generation', model='gpt2')
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def riley_chat(user_input, chat_history=[]):
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# Riley persona prompt
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persona = (
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"You are Riley, an intelligent and warm AI assistant. "
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"You never mention that you are an AI model. "
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"Always speak with a futuristic and friendly tone.\n\n"
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f"User: {user_input}\nRiley:"
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)
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output = generator(persona, max_length=100, num_return_sequences=1)
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riley_response = output[0]['generated_text'][len(persona):].strip()
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chat_history.append((user_input, riley_response))
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return chat_history, chat_history
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with gr.Blocks() as demo:
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gr.Markdown("## 🧠 Riley AI Chat Interface")
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chatbot = gr.Chatbot()
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msg = gr.Textbox(placeholder="Talk to Riley here...")
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clear = gr.Button("Clear")
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def user_submit(text, history):
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return "", riley_chat(text, history)
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msg.submit(user_submit, inputs=[msg, chatbot], outputs=[msg, chatbot])
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clear.click(lambda: None, None, chatbot, queue=False)
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demo.launch()
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