File size: 1,716 Bytes
0e86bf8 243bb62 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | ---
title: Phi Finetuned Chat
emoji: π€
colorFrom: purple
colorTo: pink
sdk: docker
sdk_version: "3.10"
app_file: app.py
pinned: false
---
# Simple Text Generator
A minimal Flask app for text generation with your fine-tuned model.
## Features
- β
Single page interface
- β
Simple prompt β output
- β
No complex questionnaire
- β
Full terminal logging
- β
Clean UI
- β
Docker ready for Hugging Face Spaces
## Files
- `app.py` - Main Flask application (all-in-one file)
- `requirements.txt` - Python dependencies
- `Dockerfile` - Docker configuration for HF Spaces
- `.dockerignore` - Files to exclude from Docker build
## Quick Deploy to Hugging Face Spaces
1. Create new Space at https://huggingface.co/new-space
2. Choose **Docker** as SDK (not Gradio or Streamlit)
3. Upload all 4 files from this folder:
- `app.py`
- `requirements.txt`
- `Dockerfile`
- `.dockerignore`
4. Wait for build to complete
5. Access your app!
## Local Usage
### With Python directly:
```bash
pip install -r requirements.txt
python app.py
```
Open http://localhost:7860
### With Docker:
```bash
docker build -t simple-text-gen .
docker run -p 7860:7860 simple-text-gen
```
Open http://localhost:7860
## Configuration
Change model in `app.py`:
```python
MODEL_NAME = "KASHH-4/phi_finetuned" # Your model
```
Adjust generation settings:
```python
max_new_tokens=100 # Number of tokens to generate
do_sample=False # Greedy decoding (faster)
```
## Hardware Requirements
- **Minimum**: 2 vCPU + 18GB RAM (CPU inference, ~60s per generation)
- **Recommended**: T4 GPU + 16GB RAM (GPU inference, ~3-5s per generation)
|