From 0369c8f1b0597f5df48920520ce3c8a5e9a04de9 Mon Sep 17 00:00:00 2001 From: Sourcery AI <> Date: Tue, 31 Oct 2023 16:38:05 +0000 Subject: [PATCH] 'Refactored by Sourcery' --- IrisPrediction.py | 3 +- StreamlitApps.py | 3 +- app.py | 18 ++++----- sketcher.py | 100 +++++++++++++++++++++------------------------- 4 files changed, 56 insertions(+), 68 deletions(-) diff --git a/IrisPrediction.py b/IrisPrediction.py index 9375b35..a2a4a79 100644 --- a/IrisPrediction.py +++ b/IrisPrediction.py @@ -30,8 +30,7 @@ def inputFeatures(): 'sepal_width': sepal_width, 'petal_length': petal_length, 'petal_width': petal_width} - features = pd.DataFrame(data, index=[0]) - return features + return pd.DataFrame(data, index=[0]) def main(): st.markdown(html_temp, unsafe_allow_html=True) diff --git a/StreamlitApps.py b/StreamlitApps.py index 42d35be..afb87ef 100644 --- a/StreamlitApps.py +++ b/StreamlitApps.py @@ -12,8 +12,7 @@ def pencilsketch(inp_img): img_gray = cv2.cvtColor(inp_img, cv2.COLOR_BGR2GRAY) img_invert = cv2.bitwise_not(img_gray) img_smoothing = cv2.GaussianBlur(img_invert, (21, 21),sigmaX=0, sigmaY=0) - final_img = dodgeV2(img_gray, img_smoothing) - return(final_img) + return dodgeV2(img_gray, img_smoothing) st.title("PencilSketcher App") diff --git a/app.py b/app.py index 5e55f2d..17cd18e 100644 --- a/app.py +++ b/app.py @@ -46,8 +46,9 @@ def videoUserDefined(src: str, width="100%", height=315): # @cache @st.cache def load_data(): - df = pd.read_csv("https://github.com/SurendraRedd/StreamlitProjects/raw/master/lang.csv") - return df + return pd.read_csv( + "https://github.com/SurendraRedd/StreamlitProjects/raw/master/lang.csv" + ) # In[ ]: @@ -75,7 +76,7 @@ def main(): """ st.markdown(html_temp,unsafe_allow_html=True) - st.markdown('{}'.format("people"), unsafe_allow_html=True) + st.markdown('people', unsafe_allow_html=True) st.latex(r''' e^{i\pi} + 1 = 0 ''') st.latex(r''' ... a + ar + a r^2 + a r^3 + \cdots + a r^{n-1} = @@ -92,8 +93,7 @@ def main(): my_table = st.table(df1) df = st.cache(pd.read_csv)("https://github.com/SurendraRedd/StreamlitProjects/raw/master/lang.csv") - is_check = st.checkbox("Display Data") - if is_check: + if is_check := st.checkbox("Display Data"): st.write(df) st.write('Dataframe example') @@ -116,7 +116,7 @@ def main(): data = {'1':"True",'2':"True",'3':"False"} st.json(data) - + # Exception handling st.exception("IndexError('list out of index')") @@ -163,7 +163,7 @@ def main(): ["SamaraSimhaReddy", "Simha", "NarasimhaNaidu", "Legend"]) - + # Will only run once if already cached df = load_data() st.write(df) @@ -187,7 +187,7 @@ def main(): with st.echo(): text = 's="Happy Learning!" for i in range(0,10): print(s)' st.write(text) - + #Image opening #img = Image.open("download.jfif") #open the image stored in specified location @@ -230,7 +230,7 @@ def main(): for percent_complete in range(100): time.sleep(0.1) my_bar.progress(percent_complete + 1) - + with st.spinner('Wait for it...'): time.sleep(5) st.success('Done!') diff --git a/sketcher.py b/sketcher.py index 301d475..5d1956e 100644 --- a/sketcher.py +++ b/sketcher.py @@ -19,24 +19,23 @@ def imageConversion(inputImage): grayScaleImg = cv2.cvtColor(inputImage, cv2.COLOR_BGR2GRAY) invertImg = cv2.bitwise_not(grayScaleImg) smoothImg = cv2.GaussianBlur(invertImg, (21,21),sigmaX=0, sigmaY=0) - finalImg = dodgeV2(grayScaleImg,smoothImg) - return finalImg + return dodgeV2(grayScaleImg,smoothImg) def main(): # Documentation - Main Function to process # Title of the web page - st.title("Convert an image in to pencil sketch") - st.subheader("This application has options to select the image either from sidebar or in mainpage.") - html_temp = """ + st.title("Convert an image in to pencil sketch") + st.subheader("This application has options to select the image either from sidebar or in mainpage.") + html_temp = """

Image to Pencil Sketch App

""" - st.markdown(html_temp, unsafe_allow_html=True) - st.write("-----------------------------------------------------------------------") - st.write(""" + st.markdown(html_temp, unsafe_allow_html=True) + st.write("-----------------------------------------------------------------------") + st.write(""" ## Packages: - Streamlit, Opencv, Pillow & numpy - How to install? @@ -45,70 +44,61 @@ def main(): > 3. **pip install numpy** > 4. **pip install Pillow** """) - st.write("-----------------------------------------------------------------------") + st.write("-----------------------------------------------------------------------") - # To avoid the deprecation warning while using the file uploader - st.set_option('deprecation.showfileUploaderEncoding', False) + # To avoid the deprecation warning while using the file uploader + st.set_option('deprecation.showfileUploaderEncoding', False) - # Selection box - image_option = st.sidebar.selectbox( - 'Image Option', - ('None','Sidebar', 'Mainpage') - ) + # Selection box + image_option = st.sidebar.selectbox( + 'Image Option', + ('None','Sidebar', 'Mainpage') + ) - # Side bar Selection - if image_option == 'Sidebar': - input_sidebar_image = st.sidebar.file_uploader("Select an image file", type=['jpeg','jpg','png']) - if input_sidebar_image is None: - pass - #st.error("Select the image to proceed!") - else: - st.write("**Side bar Image selected is **") - st.image(input_sidebar_image,use_column_width=True) - input_img = Image.open(input_sidebar_image) - skecthImage = imageConversion(np.array(input_img)) - st.write("**Skecthed Image is **") - st.image(skecthImage,use_column_width=True) + # Side bar Selection + if image_option == 'Sidebar': + input_sidebar_image = st.sidebar.file_uploader("Select an image file", type=['jpeg','jpg','png']) + if input_sidebar_image is not None: + st.write("**Side bar Image selected is **") + st.image(input_sidebar_image,use_column_width=True) + input_img = Image.open(input_sidebar_image) + skecthImage = imageConversion(np.array(input_img)) + st.write("**Skecthed Image is **") + st.image(skecthImage,use_column_width=True) - elif image_option == 'Mainpage': - input_image = st.file_uploader("Select an image file to process", type=['jpeg','jpg','png']) - if input_image is None: - pass - #st.error("Select the image to proceed!") - else: - st.write("**Main page Image selected is **") - st.image(input_image,use_column_width=True) - input_img = Image.open(input_image) - skecthImage = imageConversion(np.array(input_img)) - st.write("**Skecthed Image is **") - st.image(skecthImage,use_column_width=True) - else: - pass - - st.sidebar.title("Tip - Run app directly from GitHubLink") - st.sidebar.info(""" streamlit run + elif image_option == 'Mainpage': + input_image = st.file_uploader("Select an image file to process", type=['jpeg','jpg','png']) + if input_image is not None: + st.write("**Main page Image selected is **") + st.image(input_image,use_column_width=True) + input_img = Image.open(input_image) + skecthImage = imageConversion(np.array(input_img)) + st.write("**Skecthed Image is **") + st.image(skecthImage,use_column_width=True) + st.sidebar.title("Tip - Run app directly from GitHubLink") + st.sidebar.info(""" streamlit run https://github.com/SurendraRedd/ StreamlitProjects/blob/master /sketcher.py """) - st.sidebar.title("Logic") - st.sidebar.info(""" + st.sidebar.title("Logic") + st.sidebar.info(""" - Convert the color image to grayscale - ```gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)``` - Invert the grayscale image to get a negative - ```imagem = cv2.bitwise_not(imagem)``` - Apply a Gaussian blur to the negative from step 2 - ```blur = cv.GaussianBlur()``` - Blend the grayscale image from step 1 with the blurred negative from step 3 using a color dodge - ```dodgeV2(mg_gray, img_blur)``` > [Sketch Reference](https://www.askaswiss.com/2016/01/how-to-create-pencil-sketch-opencv-python.html) """) - st.sidebar.title("About") - st.sidebar.info("**App version 1.0**") + st.sidebar.title("About") + st.sidebar.info("**App version 1.0**") - if st.checkbox("ShowDemo?"): - st.video(open("Demo.mp4","rb").read()) + if st.checkbox("ShowDemo?"): + st.video(open("Demo.mp4","rb").read()) - if st.checkbox("Show source code? "): - st.code(open("./sketcher.py", encoding="utf-8").read()) + if st.checkbox("Show source code? "): + st.code(open("./sketcher.py", encoding="utf-8").read()) - st.info(""" + st.info(""" [GitHubLink](https://github.com/SurendraRedd/StreamlitProjects/blob/master/sketcher.py) """)