Comments (7)
Same issue here, though I have updated the import method to:
import pickle
to bypass import errors after easy_install --upgrade six
also updated the below:
saved_args = pickle.load(f)
chars, vocab = pickle.load(f)
any ideas on this error/import issue?
from chatbot-rnn.
Found out it was a syntax issue, The following example reads the resulting pickled data.
import pickle
with open('data.pickle', 'rb') as f:
# The protocol version used is detected automatically, so we do not have to specify it.
data = pickle.load(f)
for me it would be:
from chatbot-rnn.
Hi, I pushed a significant update to TF 1.4 and Python3, so I am closing out old issues -- feel free to reopen if this is still a problem, and I can take a look.
from chatbot-rnn.
works like a charm, but quit offensive with reddit data, I am looking alternative training data.
and that's the actual key differentiator, Data Quality. Maybe also training time.
But thanks for the update @pender 👍
from chatbot-rnn.
Something you could do is quickly make a net to separate offensive posts from non-offensive posts in the data, or just make it filter out specific words and phrases. I personally think that the bot being offensive makes it feel more realistic, as people on the internet are often offensive.
from chatbot-rnn.
Yes @Dankrushen , I actually made a formal apology to the bot "on behalf of all the humans", as the quality of it's training data is realistic, and this is really how an alien or a human from the future would see us "based on our output". There is a lot of anger out there.
But on the other hand, there are better sets of data, I am looking at "United States Supreme Court oral argument", i am just a bit lazy on training the model myself, i would absolutely love to have a pre-trained model with a "business-like" conversation data.
I am also looking to implement a net but for long term memory, to store long-term Bot values "like name, location, feelings".
from chatbot-rnn.
That would be cool, you should let me know if you do!
from chatbot-rnn.
Related Issues (20)
- Speed up inference HOT 1
- reddit_parse error HOT 1
- Using this bot on discord HOT 2
- Training on GPU? HOT 4
- Unable to run chatbot.py. Throwing error on tensorflow HOT 13
- Link to your pre trained not reachable HOT 3
- Unable to run chatbot.py.Getting an error
- Using the Pre-Trained Model for Regression
- Weird Unreadable Response HOT 2
- Error with reddit-parser HOT 123
- Issue with train.py - error loading data
- Question: HOT 1
- Even the checkpont file is in the correct directory it is not identifying it HOT 5
- Chatbot output russian chars issue HOT 1
- question chatbot HOT 2
- no module named tensorflow.contrib HOT 7
- requirements.txt HOT 1
- Parse Reddit Corpus in zip format
- Parse Reddit Corpus in zip format
- Can I delete old ckpt files when training?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from chatbot-rnn.