Uploaded model and app.py

README.md

@@ -1,6 +1,6 @@
 ---
 title: Footballer Profile Predictor
-emoji: 📉
+emoji: ⚽🧔🏽‍♂️
 colorFrom: pink
 colorTo: red
 sdk: streamlit

app.py

@@ -0,0 +1,48 @@
+import streamlit as st
+from fastai.vision.all import *
+from fastbook import *
+from PIL import Image
+
+@st.cache_data
+learn = load_learner('model.pkl')
+
+
+title = ':red[Upload Your Image And See which 2022 FIFA WC Football Player You Look Like]! ⚽ 🧔🏽'
+
+st.title(title)
+st.divider()
+with st.container():
+    st.header('You can upload your image below using one of the following two options:')
+    col1, col2 = st.columns(2)
+    with col1:
+        st.subheader('1. Upload an Image:')
+        upload_image = st.file_uploader(label='Local', type=['png', 'jpg', 'jpeg'])
+    with col2:
+        st.subheader('2. Take a Picture: ')
+        webcam_image = st.camera_input(label='Webcam')
+
+with st.container():
+    if (upload_image):
+        output = st.image(upload_image)
+        st.subheader("That's a lovely picture! let's proceed to see who you look like...")
+    elif (webcam_image):
+        output = st.image(webcam_image)
+        st.subheader("That's a lovely picture! let's proceed to see who you look like...")
+    else:
+        output = st.header('Please upload an image to proceed...')
+
+with st.container():
+    def classify(output):
+        name, _, _ = learn.predict(output)
+        return name
+    button = st.button('Click to see who you look like!', help='Click Me!')
+    if button:
+        with st.spinner():
+            name = classify()
+            urls = search_images_ddg(name, max_images=2)
+            img = download_url(urls[0])
+            im = Image.open(img)
+            im = im.thumbnail(720,576))
+        st.header(f'Congratulations! You Look Like: {name}!!')
+        st.image(im)
+        st.balloons()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f9f5777f8b4cef0c11d480e96ef09d07216e7239aaf964e3a92312d0ced843a
+size 105265554