Update app.py

app.py

@@ -1,47 +1,31 @@
-import easyocr as ocr  #OCR
-import streamlit as st  #Web App
-from PIL import Image #Image Processing
-import numpy as np #Image Processing 
-
-#title
-st.title("Easy OCR - Extract Text from Images")
-
-#subtitle
-st.markdown("## Optical Character Recognition - Using `easyocr`, `streamlit` -  hosted on 🤗 Spaces")
-
-st.markdown("Link to the app - [image-to-text-app on 🤗 Spaces](https://huggingface.co/spaces/Amrrs/image-to-text-app)")
-
-#image uploader
-image = st.file_uploader(label = "Upload your image here",type=['png','jpg','jpeg'])
-
-
-@st.cache
-def load_model(): 
-    reader = ocr.Reader(['en'],model_storage_directory='.')
-    return reader 
-
-reader = load_model() #load model
-
-if image is not None:
-
-    input_image = Image.open(image) #read image
-    st.image(input_image) #display image
-
-    with st.spinner("🤖 AI is at Work! "):
-        
-
-        result = reader.readtext(np.array(input_image))
-
-        result_text = [] #empty list for results
-
-
-        for text in result:
-            result_text.append(text[1])
-
-        st.write(result_text)
-    #st.success("Here you go!")
-    st.balloons()
-else:
-    st.write("Upload an Image")
-
-st.caption("Made with ❤️ by @1littlecoder. Credits to 🤗 Spaces for Hosting this ")
+from analze import *
+
+app = Flask(__name__)
+
+@app.route('/')
+def home():
+    return render_template('home.html')
+
+@app.route('/upload', methods=['GET', 'POST'])
+def upload_file():
+    if request.method == 'POST':
+        # Check if a file was uploaded
+        if 'file' not in request.files:
+            return render_template('home.html', content='No file uploaded.')
+        file = request.files['file']
+        # Check if the file has a filename
+        if file.filename == '':
+            return render_template('home.html', content='No file selected.')
+        filepath = 'email files/' + file.filename
+        return render_template('home.html',
+                               content=check_file_type(file),
+                               features = get_features(filepath),
+                               pre_content=predict_content(text_feature(filepath)),
+                               pre_tag=predict_html(html_tags_feature(filepath)),
+                               pre_num=predict_num(num_feature(filepath)),
+                               pre_extra=predict_extra(extra_feature(filepath)))
+
+    return render_template('home.html')
+
+if __name__ == '__main__':
+    app.run(host='127.0.0.1',port=5000)