Spaces:
Sleeping
Sleeping
SamSamSamChennn
commited on
Commit
·
32506e1
1
Parent(s):
c4e3ccc
[Sam] feat: Add Demo Code
Browse files- README.md +5 -4
- app.py +58 -0
- chatbot_03.ipynb +148 -0
- chatbot_03_prompt.md +3 -0
- requirements.txt +1 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version: 3.35.2
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Chatbot Exercise
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emoji: 📊
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colorFrom: yellow
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colorTo: red
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sdk: gradio
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sdk_version: 3.35.2
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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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-16k-0613",
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messages=self.messages,
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temperature=0,
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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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with open('chatbot_03_prompt.md', 'r') as file:
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prompt = file.read()
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prompt = '"""\n' + prompt + '\n"""'
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conv = Conversation(prompt, 5)
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def respond(message, chat_history):
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bot_message = conv.ask(message)
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chat_history.append((message, bot_message))
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return "", chat_history
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init_conversation = [(None, "欢迎来到 recon! 请问有什么可以帮助你的吗?")]
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with gr.Blocks(css="#chatbot{height:700px} .overflow-y-auto{height:900px}") as demo:
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chatbot = gr.Chatbot(elem_id="chatbot", value=init_conversation, height="700px")
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state = gr.State([])
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with gr.Row():
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msg = gr.Textbox(show_label=False, placeholder="Enter text and press enter")
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msg.submit(respond, [msg, chatbot], [msg, chatbot])
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demo.launch()
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chatbot_03.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "9f74e899-4d57-4778-a2fc-c9484279080c",
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"metadata": {},
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"outputs": [],
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"source": [
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"import gradio as gr\n",
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"import random\n",
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"import openai\n",
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"import os\n",
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"from dotenv import load_dotenv, find_dotenv\n",
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"\n",
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"_ = load_dotenv(find_dotenv())\n",
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"\n",
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"openai.api_key = os.getenv('OPENAI_API_KEY')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "8660af3a-7d7c-4f89-a127-6eb6942a4dda",
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"metadata": {},
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"outputs": [],
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"source": [
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"class Conversation:\n",
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" def __init__(self, prompt, num_of_round):\n",
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" self.prompt = prompt\n",
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" self.num_of_round = num_of_round\n",
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" self.messages = []\n",
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" self.messages.append({\"role\": \"system\", \"content\": self.prompt})\n",
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"\n",
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" def ask(self, question):\n",
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" try:\n",
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" self.messages.append( {\"role\": \"user\", \"content\": question})\n",
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" response = openai.ChatCompletion.create(\n",
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" model=\"gpt-3.5-turbo\",\n",
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" messages=self.messages,\n",
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" temperature=0.5,\n",
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" max_tokens=300,\n",
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" top_p=1,\n",
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" )\n",
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" except Exception as e:\n",
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" print(e)\n",
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" return e\n",
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"\n",
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" message = response[\"choices\"][0][\"message\"][\"content\"]\n",
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" self.messages.append({\"role\": \"assistant\", \"content\": message})\n",
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" \n",
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" if len(self.messages) > self.num_of_round*2 + 1:\n",
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" del self.messages[1:3]\n",
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" return message"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "47d1dd3e-b84e-4713-9a20-0b5029d548a5",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:7860\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": []
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"with open('chatbot_03_prompt.md', 'r') as file:\n",
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" prompt = file.read()\n",
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"\n",
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"prompt = '\"\"\"\\n' + prompt + '\\n\"\"\"'\n",
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"\n",
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"conv = Conversation(prompt, 5)\n",
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"\n",
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"def respond(message, chat_history):\n",
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" # bot_message = random.choice([\"How are you?\", \"I love you\", \"I'm very hungry\"])\n",
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" bot_message = conv.ask(message)\n",
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" chat_history.append((message, bot_message))\n",
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" return \"\", chat_history\n",
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"\n",
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" \n",
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"init_conversation = [(None, \"欢迎来到我们的 Chatbot! 请问有什么可以帮助你的吗?\")]\n",
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"\n",
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"with gr.Blocks(css=\"#chatbot{height:900px} .overflow-y-auto{height:1200px}\") as demo:\n",
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" chatbot = gr.Chatbot(elem_id=\"chatbot\", value=init_conversation, height=\"900px\")\n",
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" msg = gr.Textbox()\n",
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" msg.submit(respond, [msg, chatbot], [msg, chatbot])\n",
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"\n",
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"demo.launch()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2414bf0a-ae3c-490c-bbc5-d6d0fac36490",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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chatbot_03_prompt.md
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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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requirements.txt
ADDED
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openai
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