Master Conversation Summarization with Cohere and Python

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But what if you have a chatbot on your website and need to summarize user-bot interactions effectively? This tutorial guides you on how to generate chat summaries effortlessly through the combination of Cohere's capabilities and Python programming.

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Summarizing chat interactions can be incredibly valuable for businesses, allowing for insightful analysis of conversations. For instance, with a simple program, you can express an entire conversation in a summary like this:

"User inquires about product details, receives recommendations, and finalizes a purchase."

Prerequisites for Using Cohere

• Python 3.6 or higher
• Cohere API key
• Install the Cohere Python library

Step 1: Install the Cohere Python Library

The first step in your summation journey is to install the Cohere Python library. Execute the following command in your terminal:

pip install cohere

Step 2: Create a Cohere Client

Next, create a Cohere client by executing the following code. Your API key can be found on the Cohere dashboard:

import cohere
co = cohere.Client('YOUR_API_KEY')

Step 3: Generate Chat Summaries

Now that you have your client set up, let's create a response object and invoke the Generate method on the Cohere client. For this example, we will utilize the xlarge model, details about which can be found on the Cohere website.

Define the prompt by providing examples of summarized dialogues and include the new chat that requires summarization. You can also customize various parameters, including a stop sequence that indicates where the generation should halt.

response = co.generate(
    model='xlarge',
    prompt='Summarize this conversation:',
    stop_sequence='End of summary'
)

Step 4: Validate Your Program

Execute the Python file to check if the summarization process works seamlessly. This tool can be particularly useful for summarizing conversations from various platforms like Slack, Discord, Telegram, or even emails.

The code for this tutorial is available on GitHub for further exploration and experimentation.

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