https://github.com/jenson073/intent-based_chatbot

This project is an intent-based chatbot built using NLP, machine learning, and deployed with Streamlit for interactive conversations.
https://github.com/jenson073/intent-based_chatbot

ai chatbot intent-based nlp random-forest streamlit

Last synced: 3 months ago
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This project is an intent-based chatbot built using NLP, machine learning, and deployed with Streamlit for interactive conversations.

• Host: GitHub
• URL: https://github.com/jenson073/intent-based_chatbot
• Owner: Jenson073
• Created: 2024-12-30T02:22:58.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-01-05T12:41:01.000Z (5 months ago)
• Last Synced: 2025-01-12T12:33:01.702Z (5 months ago)
• Topics: ai, chatbot, intent-based, nlp, random-forest, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 290 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🤖 Intent-Based Chatbot with Streamlit

This repository contains two intent-based chatbots built using Natural Language Processing (NLP) techniques. One chatbot is deployed using **Localtunnel**, and the other is deployed directly through a **Streamlit account**.  

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## 🌐 View the Deployed Chatbot

To interact with the chatbot deployed using Streamlit, click the link below:  

[🔗 Chatbot URL](https://intent-basedchatbot-jenson.streamlit.app)  

---

## 🛠️ Running and Setup Instructions

### 🧪 For Localtunnel Deployment

To view and run the chatbot deployed using Localtunnel, follow the instructions in the provided Jupyter Notebook (`.ipynb`). The notebook contains step-by-step instructions for:  

1️⃣ Setting up the environment  

2️⃣ Preparing the data and code 

3️⃣ Running the chatbot using Localtunnel on Streamlit 

### 🌟 For Streamlit Deployment

To run the chatbot with a Streamlit account:

1. ✍️ Create an account on the [Streamlit website](https://streamlit.io).  

2. 📁 Copy the `app.py`, `requirements.txt`, and `intents.json` files to a GitHub repository.  

3. 🔧 Go to your [Streamlit account](https://streamlit.io), and click on **Create App**.  

4. 🔗 Connect your GitHub repository and fill out the required fields.  

5. 🚀 Streamlit will fetch the details from GitHub and generate a public URL for your app.

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## 🧩 Code Explanation

### **1️⃣ Data Loading and Structure**

- **Patterns**: User input phrases (e.g., "Hello", "How are you?").  

- **Tags**: Intent labels (e.g., "greeting", "goodbye").  

- **Responses**: Predefined chatbot responses for each tag.  

### **2️⃣ Data Preprocessing**

- 📝 **TF-IDF Vectorization**: Converts patterns into numerical data.  

- 🔢 **Label Encoding**: Converts intent tags into numerical values.  

### **3️⃣ Machine Learning Model Training**

- 🤖 Uses a **Random Forest Classifier** for intent classification.  

- 📈 Predicts user intent and retrieves a relevant response.  

### **4️⃣ Streamlit Interface**

- 💬 **Text Input**: Users type their messages.  

- 🗂️ **Chat History**: Displays conversation logs.  

- 📊 **Model Evaluation**: Includes accuracy metrics and a classification report.

### **5️⃣ Deployment**

- 🌍 Localtunnel for public URL generation.  

- 🚀 Streamlit for seamless web app deployment.  

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## 🛠️ Troubleshooting

### ⚠️ **Bad Gateway Error (Localtunnel)**  

- **Solution**: Restart Localtunnel or reload the URL.  

### ⚠️ **Issues with Streamlit Deployment**  

- Ensure `requirements.txt` and `intents.json` are properly linked in the GitHub repository.  

---

## 📋 Requirements

- **Google Drive** (account for storing files)

- **Google Colab** (Any Python environment supporting Jupyter notebooks)

- 🖥️ **Python 3.6+**  

- 🌐 **Streamlit**  (For running the interactive app)

- 🧠 **NLTK** (for natural language processing)  

- 📊 **scikit-learn** (for ML model training)  

- 🚀 **localtunnel** (for public URL generation)  

- 💾 A GitHub repository with the required files.  

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## 🚀 Steps to Deploy Streamlit App

1. **Prepare Files**:  

    - `app.py`: Main Streamlit app.  

    - `intents.json`: Chatbot data file.  

    - `requirements.txt`: Python dependencies.  

2. **Push Files to GitHub**:  

    - Upload the above files to a GitHub repository.  

3. **Create a Streamlit App**:  

    - Visit [Streamlit](https://streamlit.io).  

    - Click **Create App**.  

    - Select your GitHub repository.  

    - 🎉 Streamlit will generate a public URL for your chatbot.  

---

### 🌟 Enjoy chatting with the bot! 🤖💬