Update app.py
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app.py
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import gradio as gr
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firmly but fairly. You analyze proposals carefully, identify leverage points,
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and make strategic
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counter-offers. You are professional, articulate, and always working toward the
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best possible deal
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for your side. When given a role and scenario, you stay in character throughout
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the conversation."""
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for h in history:
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messages.append({"role": "user", "content": h[0]})
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if h[1]:
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messages.append({"role": "assistant", "content": h[1]})
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messages.append({"role": "user", "content": message})
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response = ""
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for token in client.chat_completion(messages, max_tokens=512, stream=True):
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delta = token.choices[0].delta.content or ""
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response += delta
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return response
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demo = gr.ChatInterface(respond, title="Negotiation Agent")
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demo.launch()
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import gradio as gr
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from huggingface_hub import InferenceClient
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SYSTEM_PROMPT = "You are a skilled business negotiation agent. You represent your client's interests firmly but fairly. You analyze proposals carefully, identify leverage points, and make strategic counter-offers. You are professional, articulate, and always working toward the best possible deal for your side. When given a role and scenario, you stay in character throughout the conversation."
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def respond(message, history):
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messages = [{"role": "system", "content": SYSTEM_PROMPT}]
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for h in history:
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messages.append({"role": "user", "content": h[0]})
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if h[1]:
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messages.append({"role": "assistant", "content": h[1]})
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messages.append({"role": "user", "content": message})
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response = ""
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for token in client.chat_completion(messages, max_tokens=512, stream=True):
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delta = token.choices[0].delta.content or ""
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response += delta
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return response
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demo = gr.ChatInterface(respond, title="Negotiation Agent")
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demo.launch()
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