to;’ src=”https://www.metadialog.com/wp-content/uploads/2022/12/cognitive-automation-definition-2.webp” width=”305px” alt=”python conversational ai”/>
Open Terminal and run the “app.py” file in a similar fashion as you did above. You will have to restart the server after every change you make to the “app.py” file. Simply enter python, add a space, paste the path (right-click to quickly paste), and hit Enter. Keep in mind, the file path will be different for your computer.
In the above example, the entity would be the location for which the user wants the weather forecast. T-Mobile decreased wait times and time to resolution, with a customer-centric approach to self-service support. Are you tired of your customers getting lost in the metadialog.com maze of sales and support options? Combine with Rasa Pro to enable conversational AI teams with the collaborative, low-code UI they need to build AI Assistants. With Rasa X/Enterprise, you can assess performance, make key improvements, and update content with ease.
Unleash the Power of OpenAI’s ChatGPT API: Command-Line Conversations Made Easy with Python
If the socket is closed, we are certain that the response is preserved because the response is added to the chat history. The client can get the history, even if a page refresh happens or in the event of a lost connection. If the token has not timed out, the data will be sent to the user.
to;’ src=”https://www.metadialog.com/wp-content/uploads/2022/06/logo.webp” width=”306px” alt=”python conversational ai”/>
First we need to import chat from src.chat within our main.py file. Then we will include the router by literally calling an include_router method on the initialized FastAPI class and passing chat as the argument. To send messages between the client and server in real-time, we need to open a socket connection. This is because an HTTP connection will not be sufficient to ensure real-time bi-directional communication between the client and the server.
Amazon Lex Framework
To demonstrate how to create a chatbot in Python using a ready-to-use library, we decided to apply the ChatterBot library. In this section, we showed only a few methods of text generation. There are still plenty of models to test and many datasets with which to fine-tune your model for your specific tasks. The num_beams parameter is responsible for the number of words to select at each step to find the highest overall probability of the sequence. We also should set the early_stopping parameter to True (default is False) because it enables us to stop beam search when at least `num_beams` sentences are finished per batch.
Pandas AI: The Generative AI Python Library – KDnuggets
Pandas AI: The Generative AI Python Library.
Posted: Mon, 15 May 2023 07:00:00 GMT [source]
Congratulations, you now know the
fundamentals to building a generative chatbot model! If you’re
interested, you can try tailoring the chatbot’s behavior by tweaking the
model and training parameters and customizing the data that you train [newline]the model on. Regardless of whether we want to train or test the chatbot model, we
must initialize the individual encoder and decoder models. In the
following block, we set our desired configurations, choose to start from
scratch or set a checkpoint to load from, and build and initialize the
models. Feel free to play with different model configurations to [newline]optimize performance.
Step 2. Install ChatGPT OpenAPI Python Dependencies
Connecting the chatbot to a web interface allows users to interact with the chatbot through the website or mobile app. There are several frameworks available for integrating a chatbot into a web application, such as Flask, Django, and Node.js. Once the chatbot has been trained with labeled training data, it can then be tested to see how well it performs. If the chatbot is performing poorly, additional training data may need to be provided or the parameters of the model may need to be adjusted. Your Power BI chatbot is now accessible through a RESTful API at the /chat endpoint.
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” width=”306px” alt=”python conversational ai”/>
Being open-source, you can browse through the existing bots and apps built using Wit.ai to get inspiration for your project. The MBF offers an impressive number of tools to aid the process of making a chatbot. It can also integrate with Luis, its natural language understanding engine. Python is one of the most popular programming languages for AI and machine learning development, thanks to its ease of use, flexibility, and extensive set of libraries and frameworks. It is built on the GPT-3.5 architecture, which is a variant of the GPT-3 architecture that was trained on an even larger dataset of text. The transformer model we used for making an AI chatbot in Python is called the DialoGPT model, or dialogue generative pre-trained transformer.
A Step-by-Step Guide to Integrating Sarufi with AzamPay
It also provides a visual conversation builder and an emulator to test conversations. This can help you create more natural and human-like interactions with clients. This open source framework works best for building contextual chatbots that can add a more human feeling to the interactions. And, the system supports synonyms and hyponyms, so you don’t have to train the bots for every possible variation of the word. After deploying the virtual assistants, they interactively learn as they communicate with users. Chatbots, or conversational interfaces as they are also known, present a new way for individuals to interact with computer systems.
Six tips for better coding with ChatGPT – Nature.com
Six tips for better coding with ChatGPT.
Posted: Mon, 05 Jun 2023 09:10:43 GMT [source]
Users can tweak this code depending on their needs and preferences. You can find these source codes on websites like GitHub and use them to build your own bots. Greedy decoding is the decoding method that we use during training when
we are NOT using teacher forcing. In other words, for each time
step, we simply choose the word from decoder_output with the highest
softmax value. It is finally time to tie the full training procedure together with the
data.
Speech recognition
Natural Language Processing or NLP is a prerequisite for our project. NLP allows computers and algorithms to understand human interactions via various languages. In order to process a large amount of natural language data, an AI will definitely need NLP or Natural Language Processing.
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” width=”306px” alt=”python conversational ai”/>
Python is also a great language for developing conversational AI applications. It has powerful natural language processing capabilities, making it easy to create chatbots that can understand and respond to user input. It also has powerful machine learning capabilities, making it easy to create chatbots that can learn from user input and improve over time. It provides developers with a range of tools for creating powerful chatbots, including entity recognition, sentiment analysis, and text classification.
Challenges of developing a chatbot
As long as you
maintain the correct conceptual model of these modules, implementing
sequential models can be very straightforward. The encoder RNN iterates through the input sentence one token
(e.g. word) at a time, at each time step outputting an “output” vector
and a “hidden state” vector. The hidden state vector is then passed to
the next time step, while the output vector is recorded.
to;’ 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” width=”301px” alt=”python conversational ai”/>
Then we create a new instance of the Message class, add the message to the cache, and then get the last 4 messages. Finally, we need to update the main function to send the message data to the GPT model, and update the input with the last 4 messages sent between the client and the model. It will store the token, name of the user, and an automatically generated timestamp for the chat session start time using datetime.now(). Recall that we are sending text data over WebSockets, but our chat data needs to hold more information than just the text. We need to timestamp when the chat was sent, create an ID for each message, and collect data about the chat session, then store this data in a JSON format.
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