Uploaded 7 changes

.gitattributes

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+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
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+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

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+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["gunicorn", "-b", "0.0.0.0:7860", "app.main:app"]

README.md

@@ -1,10 +1,10 @@
----
-title: Wearon
-emoji: 🌍
-colorFrom: green
-colorTo: gray
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Wearon
+emoji: 🌍
+colorFrom: green
+colorTo: gray
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

default

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default.pub

@@ -0,0 +1 @@
+ssh-rsa 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 3bpatil26@gmail.com

main.py

@@ -0,0 +1,95 @@
+from flask import Flask, request, jsonify, send_from_directory
+from gradio_client import Client, file
+from flask_cors import CORS
+import os
+import traceback
+import shutil
+import base64
+
+app = Flask(__name__)
+CORS(app)
+
+client = Client("yisol/IDM-VTON")
+
+# Directory to save uploaded and processed files
+UPLOAD_FOLDER = 'static/uploads'
+RESULT_FOLDER = 'static/results'
+if not os.path.exists(UPLOAD_FOLDER):
+    os.makedirs(UPLOAD_FOLDER)
+if not os.path.exists(RESULT_FOLDER):
+    os.makedirs(RESULT_FOLDER)
+
+app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
+app.config['RESULT_FOLDER'] = RESULT_FOLDER
+
+@app.route('/process', methods=['POST'])
+def predict():
+    try:
+        # Get the product image URL from the request
+        product_image_url = request.form.get('product_image_url')
+        
+        # Handle the uploaded model image
+        if 'model_image' not in request.files:
+            return jsonify(error='No model image file provided'), 400
+
+        model_image = request.files['model_image']
+        if model_image.filename == '':
+            return jsonify(error='No selected file'), 400
+
+        # Save the uploaded file to the upload directory
+        filename = os.path.join(app.config['UPLOAD_FOLDER'], model_image.filename)
+        model_image.save(filename)
+
+        base_path = os.getcwd()
+        full_filename = os.path.normpath(os.path.join(base_path, filename))
+
+        print("Product image = ", product_image_url)
+        print("Model image = ", full_filename)
+        
+        # Perform prediction
+        try:
+            result = client.predict(
+                dict={"background": file(full_filename), "layers": [], "composite": None},
+                garm_img=file(product_image_url),
+                garment_des="Hello!!",
+                is_checked=True,
+                is_checked_crop=False,
+                denoise_steps=30,
+                seed=42,
+                api_name="/tryon"
+            )
+        except Exception as e:
+            traceback.print_exc()
+            raise
+
+        print(result)
+        # Extract the path of the first output image
+        output_image_path = result[0]
+
+        # Copy the output image to the RESULT_FOLDER
+        output_image_filename = os.path.basename(output_image_path)
+        local_output_path = os.path.join(app.config['RESULT_FOLDER'], output_image_filename)
+        shutil.copy(output_image_path, local_output_path)
+
+        # Remove the uploaded file after processing
+        os.remove(filename)
+
+        # Encode the output image in base64
+        with open(local_output_path, "rb") as image_file:
+            encoded_image = base64.b64encode(image_file.read()).decode('utf-8')
+
+        # Return the output image in JSON format
+        return jsonify(image=encoded_image), 200
+
+    except Exception as e:
+        traceback.print_exc()
+        return jsonify(error=str(e)), 500
+
+@app.route('/uploads/<filename>')
+def uploaded_file(filename):
+    return send_from_directory(app.config['UPLOAD_FOLDER'], filename)
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5000)
+
+ 

requirements.txt

@@ -0,0 +1,4 @@
+flask
+flask-cors
+gradio_client
+gunicorn