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Update app.py
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app.py
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@@ -1,21 +1,28 @@
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import torch
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import gradio as gr
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from inference_codeformer import inference
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from fastapi import FastAPI, UploadFile, File
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import uvicorn
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from PIL import Image
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import io
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app = FastAPI()
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# xyz
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# vishal singh
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# Load the CodeFormer model
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model_path = "weights/CodeFormer.pth"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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@app.post("/enhance")
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async def enhance_image(file: UploadFile = File(...), upscale: int = 2, fidelity: float = 0.5):
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image = Image.open(io.BytesIO(await file.read()))
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image.save("input.png")
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@@ -31,4 +38,3 @@ async def enhance_image(file: UploadFile = File(...), upscale: int = 2, fidelity
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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import sys
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import os
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import torch
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import gradio as gr
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from fastapi import FastAPI, UploadFile, File
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import uvicorn
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from PIL import Image
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import io
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# Ensure the `basicsr` directory is in the system path
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current_dir = os.path.dirname(os.path.abspath(__file__))
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sys.path.append(os.path.join(current_dir, "basicsr"))
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# Import the inference function
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from inference_codeformer import inference
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app = FastAPI()
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# Load the CodeFormer model
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model_path = "weights/CodeFormer.pth"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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@app.post("/enhance")
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async def enhance_image(file: UploadFile = File(...), upscale: int = 2, fidelity: float = 0.5):
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"""API Endpoint to enhance images using CodeFormer"""
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image = Image.open(io.BytesIO(await file.read()))
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image.save("input.png")
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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