Testing R packages

packages.txt

@@ -1 +1,4 @@
-chromium-driver
+chromium-driver
+r-base
+r-basr-dev
+r-cran-ggplot2

pages/10 WordCloud.py

@@ -33,6 +33,7 @@ with st.popover("🔗 Menu"):
     st.page_link("pages/8 Shifterator.py", label="Shifterator", icon="8️⃣")
     st.page_link("pages/9 Summarization.py", label = "Summarization",icon ="9️⃣")
     st.page_link("pages/10 WordCloud.py", label = "WordCloud", icon = "🔟")
+    st.page_link("pages/Rtest.py",label = "rtesting")
     
 st.header("Wordcloud", anchor=False)
 st.subheader('Put your file here...', anchor=False)
@@ -72,25 +73,52 @@ def read_csv(uploaded_file):
 uploaded_file = st.file_uploader('', type=['txt'], on_change=reset_all)
 
 
+
 if uploaded_file is not None:
-    try:
-        extype = get_ext(uploaded_file)
+    
+    tab1, tab2, tab3 = st.tabs(["📈 Generate visualization", "📃 Reference", "⬇️ Download Help"])
+    
+    with tab1:
+        c1, c2 = st.columns(2)
+
+        with c1:
+            max_font = st.number_input("Max Font Size", min_value = 1, value = 100, on_change=reset_all)
+            max_words = st.number_input("Max Word Count", min_value = 1, value = 250, on_change=reset_all)
+            background = st.selectbox("Background color", ["white","black"], on_change=reset_all)
+
+        
+        with c2:
+            words_to_remove = st.text_input("Remove specific words. Separate words by semicolons (;)")
+            stopwords = words_to_remove.split(';')
+            image_width = st.number_input("Image width", value = 400, on_change=reset_all)
+            image_height = st.number_input("Image height", value = 200, on_change=reset_all)
+            scale = st.number_input("Scale", value = 1, on_change=reset_all)
+        
+        try:
+            extype = get_ext(uploaded_file)
 
-        if extype.endswith(".txt"):
-            fulltext = read_txt(uploaded_file)
+            if extype.endswith(".txt"):
+                if st.button("Submit"):
+                    fulltext = read_txt(uploaded_file)
 
-            wordcloud = WordCloud().generate(fulltext)
-            img = wordcloud.to_image()
+                    wordcloud = WordCloud(max_font_size = max_font,
+                    max_words = max_words,
+                    background_color=background,
+                    stopwords = stopwords,
+                    height = image_height,
+                    width = image_width,
+                    scale = scale).generate(fulltext)
+                    img = wordcloud.to_image()
 
-            with st.container(border=True):
-                st.image(img)
+                    with st.container(border=True):
+                        st.image(img, use_container_width=True)
 
-        elif extype.endswith(".csv"):
-            texts = read_csv(uploaded_file)
+            elif extype.endswith(".csv"):
+                texts = read_csv(uploaded_file)
 
 
         
 
 
-    except Exception as e:
-        st.write(e)
+        except Exception as e:
+            st.write(e)

pages/Rtest.py

@@ -0,0 +1,61 @@
+import streamlit as st
+import subprocess
+
+# ===config===
+st.set_page_config(
+    page_title="Coconut",
+    page_icon="🥥",
+    layout="wide",
+    initial_sidebar_state="collapsed"
+)
+
+hide_streamlit_style = """
+            <style>
+            #MainMenu 
+            {visibility: hidden;}
+            footer {visibility: hidden;}
+            [data-testid="collapsedControl"] {display: none}
+            </style>
+            """
+st.markdown(hide_streamlit_style, unsafe_allow_html=True)
+
+with st.popover("🔗 Menu"):
+    st.page_link("https://www.coconut-libtool.com/", label="Home", icon="🏠")
+    st.page_link("pages/1 Scattertext.py", label="Scattertext", icon="1️⃣")
+    st.page_link("pages/2 Topic Modeling.py", label="Topic Modeling", icon="2️⃣")
+    st.page_link("pages/3 Bidirected Network.py", label="Bidirected Network", icon="3️⃣")
+    st.page_link("pages/4 Sunburst.py", label="Sunburst", icon="4️⃣")
+    st.page_link("pages/5 Burst Detection.py", label="Burst Detection", icon="5️⃣")
+    st.page_link("pages/6 Keywords Stem.py", label="Keywords Stem", icon="6️⃣")
+    st.page_link("pages/7 Sentiment Analysis.py", label="Sentiment Analysis", icon="7️⃣")
+    st.page_link("pages/8 Shifterator.py", label="Shifterator", icon="8️⃣")
+    st.page_link("pages/9 Summarization.py", label = "Summarization",icon ="9️⃣")
+    st.page_link("pages/10 WordCloud.py", label = "WordCloud", icon = "🔟")
+    
+st.header("R testing", anchor=False)
+
+#========unique id========
+@st.cache_resource(ttl=3600)
+def create_list():
+    l = [1, 2, 3]
+    return l
+
+l = create_list()
+first_list_value = l[0]
+l[0] = first_list_value + 1
+uID = str(l[0])
+
+#===clear cache===
+def reset_all():
+    st.cache_data.clear()
+
+if st.button("Test"):
+    process2 = subprocess.Popen(["Rscript", "pages/testr.R"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+    result2 = process2.communicate()
+    with st.container(border=True):
+        st.image('plot.png')
+
+
+
+
+