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Commit 42b6943

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Merge pull request avinashkranjan#2695 from Shivansh-Jain-github/cont1
Chatbot using OpenAI API
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```markdown
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# ChatGPT Usage Example
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This repository contains an example of how to use OpenAI's GPT-3.5-turbo model for interactive text-based conversations. In this example, you'll learn how to use both the OpenAI Python Package and the API Endpoint to engage in a conversation with the language model.
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## Installation
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You'll need to install the OpenAI Python package to use the GPT-3.5-turbo model. You can do this using the following command:
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```bash
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pip install -q openai
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```
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## Usage
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### Method 1 - Using OpenAI Python Package
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```python
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import openai
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# Set your OpenAI API key
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openai.api_key = 'your-api-key'
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# Initialize the conversation with a system message
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messages = [
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{"role": "system", "content": "You are a kind helpful assistant."},
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]
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while True:
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message = input("User : ")
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if message:
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messages.append(
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{"role": "user", "content": message},
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)
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chat = openai.ChatCompletion.create(
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model="gpt-3.5-turbo", messages=messages
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)
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reply = chat.choices[0].message.content
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print(f"ChatGPT: {reply}")
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messages.append({"role": "assistant", "content": reply})
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```
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Example conversation:
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```
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User : What is your name?
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ChatGPT: I am a language model developed by OpenAI, and I don't have a specific name. You can call me OpenAI if you'd like. How can I assist you further?
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User : Can you call me Shivansh?
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ChatGPT: Sure, Shivansh. Is there anything else I can help you with?
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User : What is my name?
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ChatGPT: Your name is Shivansh.
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```
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### Method 2 - Using API Endpoint
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```python
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import requests
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# Set your OpenAI API key
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api_key = 'your-api-key'
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URL = "https://api.openai.com/v1/chat/completions"
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payload = {
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"model": "gpt-3.5-turbo",
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"messages": [{"role": "user", "content": f"What is the first computer in the world?"}],
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"temperature": 1.0,
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"top_p": 1.0,
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"n": 1,
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"stream": False,
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"presence_penalty": 0,
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"frequency_penalty": 0,
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_key}"
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}
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response = requests.post(URL, headers=headers, json=payload, stream=False)
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result = response.json()
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assistant_reply = result["choices"][0]["message"]["content"]
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print(f"Assistant's reply: {assistant_reply}")
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```
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Example response:
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```
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Assistant's reply: The first computer in the world was the Electronic Numerical Integrator and Computer (ENIAC), created in 1945 at the University of Pennsylvania.
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```
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Feel free to experiment with the provided code and adapt it to your specific use case. For more information about the OpenAI API and its capabilities, refer to the [official documentation](https://beta.openai.com/docs/).
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```
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Please replace `'your-api-key'` with your actual OpenAI API key before using the code.
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"!pip install -q openai "
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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": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import openai"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"openai.api_key = 'sk-'"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"messages = [\n",
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" {\"role\": \"system\", \"content\": \"You are a kind helpful assistant.\"},\n",
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"]"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"while True:\n",
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" message = input(\"User : \")\n",
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" if message:\n",
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" messages.append(\n",
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" {\"role\": \"user\", \"content\": message},\n",
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" )\n",
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" chat = openai.ChatCompletion.create(\n",
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" model=\"gpt-3.5-turbo\", messages=messages\n",
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" )\n",
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" \n",
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" reply = chat.choices[0].message.content\n",
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" print(f\"ChatGPT: {reply}\")\n",
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" messages.append({\"role\": \"assistant\", \"content\": reply})"
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]
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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",
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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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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import requests\n",
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"\n",
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"URL = \"https://api.openai.com/v1/chat/completions\"\n",
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"\n",
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"payload = {\n",
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"\"model\": \"gpt-3.5-turbo\",\n",
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"\"messages\": [{\"role\": \"user\", \"content\": f\"What is the first computer in the world?\"}],\n",
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"\"temperature\" : 1.0,\n",
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"\"top_p\":1.0,\n",
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"\"n\" : 1,\n",
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"\"stream\": False,\n",
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"\"presence_penalty\":0,\n",
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"\"frequency_penalty\":0,\n",
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"}\n",
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"\n",
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"headers = {\n",
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"\"Content-Type\": \"application/json\",\n",
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"\"Authorization\": f\"Bearer {openai.api_key}\"\n",
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"}\n",
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"\n",
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"response = requests.post(URL, headers=headers, json=payload, stream=False)"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"response.content"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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