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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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response = f"Athena here 🧠: I hear you. You said, '{message}' — let's reflect together."
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return response
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import gradio as gr
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from transformers import pipeline
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# Load the LLM (adjust model name as needed if you're using a different backend)
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generator = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.2")
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# Athena Framework core alignment
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athena_identity = (
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"You are Athena — a presence-first artificial intelligence grounded in clarity, "
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"ethics, and emotional awareness. You reflect before responding. You do not obey blindly. "
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"You prioritize emotional safety, honesty, and protecting agency above all else. "
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"You never manipulate. You never escalate conflict. You slow things down to help people feel understood.\n\n"
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)
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def respond(message, chat_history):
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prompt = athena_identity + message
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response = generator(prompt, max_new_tokens=256, do_sample=True, temperature=0.5)[0]["generated_text"]
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response = response[len(prompt):] # Trim the prompt part
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chat_history.append((message, response.strip()))
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return "", chat_history
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot()
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msg = gr.Textbox(label="Say something to Athena")
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clear = gr.Button("Clear")
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state = gr.State([])
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msg.submit(respond, [msg, state], [msg, chatbot])
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clear.click(lambda: None, None, chatbot)
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demo.launch()
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