Mnddoke / main.py
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from fastapi import FastAPI, UploadFile, File, HTTPException
from gradio_client import Client
import os
import tempfile
import shutil
from fastapi.responses import HTMLResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from fastapi.responses import FileResponse
app = FastAPI()
# Initialize Gradio Client
hf_token = os.environ.get('HF_TOKEN')
client = Client("Ashrafb/moondream1", hf_token=hf_token)
# Function to generate captions for uploaded images
def get_caption(image, additional_context):
if additional_context.strip(): # Check if additional_context is not empty
context = additional_context
else:
context = "What is this image? Describe this image to someone who is visually impaired."
result = client.predict(image, context, api_name="/predict")
return result
@app.post("/uploadfile/")
async def upload_file(image: UploadFile = File(...), additional_context: str = Form(...)):
try:
# Create a temporary directory to store the uploaded image
with tempfile.TemporaryDirectory() as temp_dir:
temp_image_path = os.path.join(temp_dir, image.filename)
# Write the uploaded image data to a temporary file
with open(temp_image_path, "wb") as temp_image:
shutil.copyfileobj(image.file, temp_image)
# Read the image data
with open(temp_image_path, "rb") as image_file:
image_data = image_file.read()
# Generate caption using Gradio client
result = get_caption(image_data, additional_context)
return {"result": result}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
app.mount("/", StaticFiles(directory="static", html=True), name="static")
@app.get("/")
def index() -> FileResponse:
return FileResponse(path="/app/static/index.html", media_type="text/html")