Duplicate from Khaled27/Naptah

Co-authored-by: Khaled Mohamed <Khaled27@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.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
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.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

README.md

@@ -0,0 +1,14 @@
+---
+title: Naptah
+emoji: 🏆
+colorFrom: yellow
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.19.0
+app_file: app.py
+pinned: false
+license: other
+duplicated_from: Khaled27/Naptah
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,50 @@
+from flask import Flask, request
+from transformers import AutoModelForImageClassification
+from transformers import AutoImageProcessor
+from PIL import Image
+import torch
+
+app = Flask(__name__)
+
+model = AutoModelForImageClassification.from_pretrained(
+    './myModel')
+image_processor = AutoImageProcessor.from_pretrained(
+    "google/vit-base-patch16-224-in21k")
+
+
+@app.route('/upload_image', methods=['POST'])
+def upload_image():
+    # Get the image file from the request
+    image_file = request.files['image']
+
+    # Save the image file to a desired location on the server
+    image_path = "assets/img.jpg"
+    image_file.save(image_path)
+
+    # You can perform additional operations with the image here
+    # ...
+
+    return 'Image uploaded successfully'
+
+
+@app.route('/get_text', methods=['GET'])
+def get_text():
+    image = Image.open('assets/img.jpg')
+    inputs = image_processor(image, return_tensors="pt")
+
+    with torch.no_grad():
+        logits = model(**inputs).logits
+
+    predicted_label = logits.argmax(-1).item()
+
+    disease = model.config.id2label[predicted_label]
+
+    return disease
+
+
+print('upload_image()')
+
+# if __name__ == '__app__':
+#     app.run(host='192.168.1.7', port=5000 )
+if __name__ == '__app__':
+    app.run( host='0.0.0.0',port=7860)

myModel/config.json

@@ -0,0 +1,57 @@
+{
+  "_name_or_path": "my_model",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Pepper__bell___Bacterial_spot",
+    "1": "Pepper__bell___healthy",
+    "2": "Potato___Early_blight",
+    "3": "Potato___Late_blight",
+    "4": "Potato___healthy",
+    "5": "Tomato_Bacterial_spot",
+    "6": "Tomato_Early_blight",
+    "7": "Tomato_Late_blight",
+    "8": "Tomato_Leaf_Mold",
+    "9": "Tomato_Septoria_leaf_spot",
+    "10": "Tomato_Spider_mites_Two_spotted_spider_mite",
+    "11": "Tomato__Target_Spot",
+    "12": "Tomato__Tomato_YellowLeaf__Curl_Virus",
+    "13": "Tomato__Tomato_mosaic_virus",
+    "14": "Tomato_healthy"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Pepper__bell___Bacterial_spot": "0",
+    "Pepper__bell___healthy": "1",
+    "Potato___Early_blight": "2",
+    "Potato___Late_blight": "3",
+    "Potato___healthy": "4",
+    "Tomato_Bacterial_spot": "5",
+    "Tomato_Early_blight": "6",
+    "Tomato_Late_blight": "7",
+    "Tomato_Leaf_Mold": "8",
+    "Tomato_Septoria_leaf_spot": "9",
+    "Tomato_Spider_mites_Two_spotted_spider_mite": "10",
+    "Tomato__Target_Spot": "11",
+    "Tomato__Tomato_YellowLeaf__Curl_Virus": "12",
+    "Tomato__Tomato_mosaic_virus": "13",
+    "Tomato_healthy": "14"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1"
+}

myModel/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:319df356e382a14d3cee2e0c0bf21c99faaf8f3e7017ef03c20adc01dcb6cc41
+size 343305965

requirements.txt

@@ -0,0 +1,49 @@
+altair==4.1.0
+autopep8==1.7.0
+biopython==1.79
+blinker==1.6.2
+certifi==2023.5.7
+charset-normalizer==3.1.0
+click==8.1.3
+colorama==0.4.6
+contourpy==1.0.6
+cycler==0.11.0
+docopt==0.6.2
+filelock==3.12.0
+Flask==2.3.2
+fonttools==4.38.0
+fsspec==2023.5.0
+huggingface-hub==0.14.1
+idna==3.4
+itsdangerous==2.1.2
+Jinja2==3.1.2
+kiwisolver==1.4.4
+MarkupSafe==2.1.2
+matplotlib==3.6.1
+mpmath==1.3.0
+networkx==3.1
+numpy==1.23.4
+opencv-python==4.6.0.66
+packaging==21.3
+pandas==1.5.3
+Pillow==9.3.0
+pipreqs==0.4.13
+pycodestyle==2.9.1
+pyparsing==3.0.9
+python-dateutil==2.8.2
+pytz==2022.7.1
+PyYAML==6.0
+regex==2023.5.5
+requests==2.31.0
+scipy==1.9.3
+six==1.16.0
+sympy==1.12
+tokenizers==0.13.3
+toml==0.10.2
+torch==2.0.1
+tqdm==4.65.0
+transformers==4.29.2
+typing_extensions==4.5.0
+urllib3==2.0.2
+Werkzeug==2.3.4
+yarg==0.1.9