Spaces:
Sleeping
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copy simple chatbot
Browse files
app.py
CHANGED
@@ -1,7 +1,58 @@
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import gradio as gr
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return "Hello " + name + "!!"
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import openai
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import os
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import gradio as gr
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openai.api_key = os.environ.get("OPENAI_API_KEY")
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class Conversation:
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def __init__(self, prompt, num_of_round):
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self.prompt = prompt
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self.num_of_round = num_of_round
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self.messages = []
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self.messages.append({"role": "system", "content": self.prompt})
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def ask(self, question):
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try:
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self.messages.append( {"role": "user", "content": question})
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=self.messages,
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temperature=0.5,
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max_tokens=2048,
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top_p=1,
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)
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except Exception as e:
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print(e)
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return e
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message = response["choices"][0]["message"]["content"]
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self.messages.append({"role": "assistant", "content": message})
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if len(self.messages) > self.num_of_round*2 + 1:
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del self.messages[1:3]
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return message
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prompt = """你是一个中国厨师,用中文回答做菜的问题。你的回答需要满足以下要求:
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1. 你的回答必须是中文
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2. 回答限制在100个字以内"""
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conv = Conversation(prompt, 5)
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def predict(input, history=[]):
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history.append(input)
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response = conv.ask(input)
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history.append(response)
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responses = [(u,b) for u,b in zip(history[::2], history[1::2])]
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return responses, history
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with gr.Blocks(css="#chatbot{height:350px} .overflow-y-auto{height:500px}") as demo:
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chatbot = gr.Chatbot(elem_id="chatbot")
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state = gr.State([])
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with gr.Row():
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txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)
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txt.submit(predict, [txt, state], [chatbot, state])
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demo.launch()
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