https://github.com/vishnun0027/simple-llm-application
This is a simple Language Model (LLM) application that integrates Fastapi and LangChain.
https://github.com/vishnun0027/simple-llm-application
ai fastapi langchain llm pytest
Last synced: 4 months ago
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This is a simple Language Model (LLM) application that integrates Fastapi and LangChain.
- Host: GitHub
- URL: https://github.com/vishnun0027/simple-llm-application
- Owner: vishnun0027
- Created: 2024-11-19T06:58:14.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-11-25T10:30:56.000Z (8 months ago)
- Last Synced: 2025-01-25T10:11:38.490Z (6 months ago)
- Topics: ai, fastapi, langchain, llm, pytest
- Language: Python
- Homepage:
- Size: 7.81 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Build a Simple LLM Application
A FastAPI-based application that provides translation and word similarity services using LangChain and the Groq LLM API.
## Features
- Text translation to multiple languages
- Finding similar words for a given input word
- RESTful API endpoints
- Input validation using Pydantic models
- Error handling with proper HTTP status codes
## Installation
1. Clone the repository:
```bash
git clone https://github.com/vishnun0027/Simple-LLM-Application.git
cd Simple-LLM-Application
```
2. Install required dependencies:
```bash
pip install -r requirements.txt
```
3. Create a `.env` file in the root directory and add your Groq API key:
```env
GROQ_API_KEY=your_groq_api_key_here
```
## Usage
1. Start the server:
```bash
uvicorn src.app:app --reload
```
2. The API will be available at `http://localhost:8000`
## API Endpoints
### 1. Translation Endpoint
**POST** `/translate/`
Translates text from English to a specified language.
Request body:
```json
{
"language": "Spanish",
"text": "Hello, how are you?"
}
```
Response:
```json
{
"translated_text": "Hola, ¿cómo estás?"
}
```
### 2. Similar Words Endpoint
**POST** `/similar-words/`
Finds similar words to the input word.
Request body:
```json
{
"word": "happy"
}
```
Response:
```json
{
"similar_words": "joyful, cheerful, delighted, content, pleased..."
}
```
## Error Handling
The API includes proper error handling with appropriate HTTP status codes:
- `400 Bad Request`: Invalid input data
- `500 Internal Server Error`: Server-side processing errors