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Update app.py
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app.py
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from fastapi import FastAPI
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app = FastAPI()
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from fastapi import FastAPI
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import requests
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import io
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from PIL import Image
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from fastapi.responses import StreamingResponse
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import os
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# Initialize the FastAPI app
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app = FastAPI()
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# Get the Hugging Face API key from environment variables
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API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
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HUGGINGFACE_TOKEN = os.getenv("HUGGINGFACE_TOKEN")
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headers = {"Authorization": f"Bearer {HUGGINGFACE_TOKEN}"}
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# Function to query Hugging Face model API
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.content
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# FastAPI route to return the image
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@app.get("/generate-image")
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def generate_image():
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# Send a request to the Hugging Face model
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image_bytes = query({"inputs": "cat with dog"})
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# Open the image
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image = Image.open(io.BytesIO(image_bytes))
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# Create a StreamingResponse to return the image as a response
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img_byte_arr = io.BytesIO()
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image.save(img_byte_arr, format='PNG')
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img_byte_arr.seek(0)
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return StreamingResponse(img_byte_arr, media_type="image/png")
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