# Healthbot - A medical diagnosis agent
This project aims to create an AI conversational agent to treat patients by giving them medical information and prescriptions when needed. It is built on top of the Rasa Stack and uses the Infermedica API to diagnose patients.
## Usage
To train the bot interactively, Run `train_core_interactive.py`
To make the Bot run on Facebook Messenger, follow the below steps.
* Go to Facebook Developers Page using this [link](https://developers.facebook.com/)
* Sign up and create a FB Messenger App Page.
* Configure the Messages Webhooks for your newly created app.
* Get the webhook verification name and store it in system variable as `FB_VERIFY`, Secret Key as `FB_BOT_SECRET`
and Page access token as `FB_PAGE_ACCESS_TOKEN`
* To run bot in Facebook, Just run `run_dialouge.py`
## Tasks to perform
* Interface better with Infermedica API to answer followup questions.
* Add more features to make chatbot interesting.
一个有用的聊天机器人，用于为其用户提供医疗诊断解决方案 -Python-下载
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2023-01-09
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一个有用的聊天机器人，用于为其用户提供医疗诊断解决方案。.zip （31个子文件） 
healthbot-master 
train_nlu.py 310B nlu_config.yml 170B actions.py 1KB train_core_interactive.py 1KB data stories.md 2KB nlu_data.md 2KB endpoints.yml 102B predict.py 196B domain.yml 975B bot_server_channel.py 7KB run_dialouge.py 2KB rasa_core.log 30KB
requirements.txt 814B models dialogue policy_metadata.json 763B domain.json 595B policy_2_FallbackPolicy fallback_policy.json 104B domain.yml 1KB policy_1_KerasPolicy keras_policy.json 48B keras_model.h5 79KB featurizer.json 886B policy_0_MemoizationPolicy memorized_turns.json 82KB featurizer.json 280B default healthbot intent_classifier_sklearn.pkl 181KB training_data.json 11KB metadata.json 2KB crf_model.pkl 34KB regex_featurizer.json 2B story_graph.dot 3KB __pycache__ actions.cpython-35.pyc 2KB bot_server_channel.cpython-35.pyc 7KB README.md 957B资源评论
