https://github.com/chiraghariprasad/chatbot
I am trying to make a chatbot using tensorflow and natural language toolkit
https://github.com/chiraghariprasad/chatbot
Last synced: 2 months ago
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I am trying to make a chatbot using tensorflow and natural language toolkit
- Host: GitHub
- URL: https://github.com/chiraghariprasad/chatbot
- Owner: ChiragHariprasad
- Created: 2024-11-27T14:22:42.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-11-27T14:32:12.000Z (6 months ago)
- Last Synced: 2025-02-06T22:37:30.198Z (4 months ago)
- Language: Python
- Size: 22.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Help Needed: CommunityBot Chatbot Project
I am working on a chatbot project called CommunityBot, designed to help users engage with their local community. However, I’m encountering issues with certain aspects of the bot, and I would appreciate any help or suggestions to make it work better.
## Current Issues
Incorrect Responses: The bot is not providing accurate or relevant responses to user queries. Even after training, the output is inconsistent, and the bot doesn’t always respond correctly.
Training Data: Despite having a properly structured dataset (intents.json), the chatbot struggles to match user inputs with the right responses.
Integration with Model: I’m facing issues with integrating the trained model (chatbot_model.h5) with the bot's interactive logic. Some of the responses seem random or off-topic.
General Performance: The chatbot doesn’t seem to perform well with more complex or varied user inputs. I need guidance on improving its response accuracy.
## Goal
I am looking for assistance with:
Improving Response Accuracy: How can I fine-tune the model or training process to improve accuracy and response relevance?
Fixing Model Integration: Help with properly integrating the trained model and ensuring it works seamlessly in predicting and matching responses.
Enhancing User Interaction: Suggestions for making the chatbot more interactive and capable of handling various user queries, especially when it comes to community-related topics.
Debugging: Assistance in troubleshooting any issues or errors that might be preventing the chatbot from working as expected.
Project Files
### Here are the main files for the project:
intents.json: Contains the data with tags, patterns, and responses used to train the model.
chatbot.py: The main script for running the chatbot and interacting with users.
train.py: Script for training the model using the data in intents.json.
chatbot_model.h5: The trained machine learning model file.(please to run the training file for this)
words.pkl and classes.pkl: Files containing tokenized words and classes used in training.(please to run the training file for this)
## What I Have Tried
I have already trained the model using the data in intents.json, but the bot still provides inaccurate responses.
I have attempted to adjust the ERROR_THRESHOLD and training settings, but I haven’t been able to achieve better results.
I’ve checked the code for errors, but the issue seems to be with how the model is integrated or how the responses are matched.
## How You Can Help
Debugging: Please help me debug the chatbot's prediction and response functions.
Suggestions for Improvement: Any recommendations on improving the training dataset or model to enhance the accuracy of responses.
Code Review: A thorough review of the code, particularly the chatbot.py and train_chatbot.py files, to spot any issues in logic or structure.