title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned
Chatbot Mistral	😷	gray	indigo	streamlit	1.42.0	app.py	false

Symptom Diagnosis Chatbot

An interactive Python chatbot that helps users identify a possible diagnosis based on the symptoms they report. This project integrates a knowledge base stored in a database.txt file and utilizes HuggingFace models for generating responses and performing translations.

Description

This project was created to:

• Load a Knowledge Base: A database.txt file contains symptoms and their corresponding content. Each record follows the format:

• Generate Customized Responses: Using the Mistral-7B-Instruct-v0.3 model from HuggingFace to interpret the user's query and the Helsinki-NLP/opus-mt-tc-big-en-pt model to translate responses into Portuguese.

• Provide an Interactive Web Interface: Built with Streamlit, allowing users to interact with the chatbot and adjust parameters via a sidebar.

Features

• Knowledge Base Integration: Reads and formats symptoms and content from an external file.
• Response Generation: Provides responses based on the conversation context and the knowledge base.
• Automatic Translation: Translates responses to Portuguese.
• Interactive Web Interface: Developed with Streamlit, enabling a simple and intuitive conversation with the chatbot.
• Customizable Settings: Allows adjustments to system messages, maximum response length, and other parameters through the interface.

Prerequisites

• Python 3.8 or higher
• HuggingFace Access Token: Set the environment variable HF_TOKEN with your HuggingFace token.
• The following Python libraries:
• streamlit
• transformers
• langchain-huggingface
• (Other dependencies may be listed in a requirements.txt file)

Installation

1. Clone the Repository

2. Install requirements

pip install -r requirements.txt

Highly recommend use hugginface spaces