Merge pull request #4 from Public-Computing-Lab/experiment2

Experiment2

Author: cledantec

.gitignore

@@ -70,5 +70,8 @@ build/
 *.log
 gemini_api.key.txt
 
-# Nova
-.nova
+# nova
+.nova
+
+# vercel
+.vercel

.vercelignore

@@ -0,0 +1,21 @@
+*.pyc
+__pycache__/
+*.pkl
+*.csv
+*.json
+*.xml
+*.yaml
+*.yml
+*.h5
+*.ckpt
+*.log
+*.txt
+*.md
+.vscode/
+.idea/
+*.ipynb
+node_modules/
+data/
+datasets/
+models/
+db/

experiment-2/Boston_Crime_Cleaned_v2.csv

@@ -0,0 +1,23 @@
+# ✅ Use the official Python slim image
+FROM python:3.11-slim
+
+# ✅ Set working directory inside the container
+WORKDIR /app/ReThink_AI_Chatbot
+
+# ✅ Copy everything from the current directory to the container
+COPY . .
+
+# ✅ Ensure the database folder exists
+RUN mkdir -p /app/ReThink_AI_Chatbot/db
+
+# ✅ Explicitly copy the CSV file
+COPY db/Boston_Crime_Cleaned_v2.csv /app/ReThink_AI_Chatbot/db/Boston_Crime_Cleaned_v2.csv
+
+# ✅ Install dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# ✅ Expose the correct port (Fly.io expects 8080)
+EXPOSE 8080
+
+# ✅ Start the Flask app
+CMD ["gunicorn", "-b", "0.0.0.0:8080", "app:app"]

experiment-2/Dockerfile

@@ -0,0 +1 @@
+web: gunicorn app:app

experiment-2/Procfile

@@ -0,0 +1,50 @@
+# RethinkAI
+
+# 🔥 LLM Chatbot using Flask & Gemini API
+
+This project is a **Flask-based chatbot** that interacts with **Google Gemini API** to provide intelligent responses. It processes user questions dynamically using a dataset stored in memory and allows users to provide feedback on responses.
+
+## 📌 Features
+
+- ✅ **Flask-based API** to interact with Google Gemini LLM.
+- ✅ **Gemini API Integration** for generating responses.
+- ✅ **Logging System** to track user queries and responses.
+- ✅ **Feedback System** (👍 / 👎) to collect user feedback.
+
+---
+
+## 🚀 Getting Started
+
+### **1️⃣ Clone the Repository**
+
+```sh
+git clone https://github.com/yourusername/llm-flask-chatbot.git
+cd llm-flask-chatbot
+
+```
+
+### **2️⃣ Create & Activate a Virtual Environment**
+
+```sh
+python3 -m venv venv
+source venv/bin/activate  # On Mac/Linux
+venv\Scripts\activate     # On Windows
+```
+
+### **3️⃣ Install Dependencies**
+
+pip install -r requirements.txt
+
+### **4️⃣ Setup Environment Variables**
+
+- Create a .env file in the project root
+
+```sh
+nano .env
+```
+
+- Add the following:
+
+```sh
+GEMINI_API_KEY=your_google_gemini_api_key
+```