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https://github.com/mohamedbilal1800/movie_review_sentiment_analysis_app
This app analyzes movie reviews to determine their sentiment (Positive, Negative, or Neutral) and provides an explanation for the chosen sentiment.
https://github.com/mohamedbilal1800/movie_review_sentiment_analysis_app
dotenv gemini-api genai python3 streamlit webapp
Last synced: 17 days ago
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This app analyzes movie reviews to determine their sentiment (Positive, Negative, or Neutral) and provides an explanation for the chosen sentiment.
- Host: GitHub
- URL: https://github.com/mohamedbilal1800/movie_review_sentiment_analysis_app
- Owner: mohamedbilal1800
- Created: 2024-11-18T12:57:35.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-01-12T06:57:21.000Z (26 days ago)
- Last Synced: 2025-01-12T07:28:44.437Z (26 days ago)
- Topics: dotenv, gemini-api, genai, python3, streamlit, webapp
- Language: Python
- Homepage: https://movie-review-sentiment-analysis-app-v01.streamlit.app/
- Size: 9.77 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🎥 Movie Review Sentiment Analysis App
Analyze movie reviews effortlessly with this sentiment analysis app! This application uses the **Google Gemini-1.5-flash-001 model** for advanced natural language understanding to classify reviews as **Positive**, **Negative**, or **Neutral**. It also provides an explanation for the chosen sentiment, helping users better understand the analysis.
---
## 🌟 Features
- **Sentiment Classification**: Classifies movie reviews into Positive, Neutral, or Negative.
- **Explanations**: Provides clear reasoning for the sentiment classification.
- **User-Friendly Interface**: Built with Streamlit for an intuitive and interactive experience.
- **Powered by AI**: Leverages the state-of-the-art Google Gemini-1.5-flash-001 model for robust natural language understanding.
---
## 🛠️ Technologies Used
- **Python**: Backend logic and integration.
- **Streamlit**: Interactive web interface.
- **Google Gemini Model**: Advanced AI for sentiment analysis.
- **dotenv**: Securely load API keys.
- **Google Generative AI SDK**: Access Google Gemini APIs.
---
## 🚀 Getting Started
### Prerequisites
1. Python 3.9 or later.
2. A Google Cloud account with access to the **Gemini-1.5-flash-001 model**.
3. Streamlit installed on your machine.
### Installation
1. Clone the repository:
```bash
git clone https://github.com/your-username/movie-review-sentiment-analysis.git
cd movie-review-sentiment-analysis
```
2. Create a virtual environment and activate it:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install the dependencies:
```bash
pip install -r requirements.txt
```
4. Add your **Google API key** to a `.env` file
---
## 💻 Usage
1. Run the app locally:
```bash
streamlit run app.py
```
2. Open the app in your browser at `http://localhost:8501`.
3. Enter a movie review in the text box and click **"Analyze Sentiment"** to see the sentiment and explanation.