Update app.py

app.py

@@ -1,56 +1,27 @@
 import streamlit as st
-import nltk
-from nltk.corpus import stopwords
-from nltk.tokenize import word_tokenize
-from nltk.probability import FreqDist
-import matplotlib.pyplot as plt
+import time
+from datetime import datetime
 
-nltk.download('punkt')
+# Set the time at the start of the program
+start_time = time.time()
 
-def process_text(text):
-    # Tokenize the text
-    tokens = word_tokenize(text)
+# Main loop
+while True:
+    # Get the current time
+    now = time.time()
 
-    # Remove stopwords
-    stop_words = set(stopwords.words("english"))
-    filtered_tokens = [word for word in tokens if word.lower() not in stop_words]
+    # Check if 15 seconds have passed
+    if now - start_time >= 15:
+        # Refresh the screen
+        st.experimental_rerun()
 
-    # Calculate word frequency
-    fdist = FreqDist(filtered_tokens)
+    # Show the text area
+    text_input = st.text_area('Crowdsource')
 
-    # Get the top 10 most common words
-    top_words = fdist.most_common(10)
+    # When data is saved there, append it to a "Log.txt" file
+    if text_input:
+        with open('Log.txt', 'a') as f:
+            f.write(f"{datetime.now()}: {text_input}\n")
 
-    return top_words
-
-
-def main():
-    st.title("NLTK Graph Visualization")
-
-    # Upload file
-    uploaded_file = st.file_uploader("Upload a text file", type=["txt"])
-
-    if uploaded_file is not None:
-        # Read file contents
-        text = uploaded_file.read().decode("utf-8")
-
-        # Process the text
-        top_words = process_text(text)
-
-        # Plot word frequency graph
-        words, frequencies = zip(*top_words)
-        plt.bar(words, frequencies)
-        plt.xticks(rotation=45)
-        plt.xlabel("Words")
-        plt.ylabel("Frequency")
-        plt.title("Top 10 Most Common Words")
-        st.pyplot()
-
-        # Display the top words
-        st.subheader("Top 10 Most Common Words")
-        for word, frequency in top_words:
-            st.write(f"- {word}: {frequency}")
-
-
-if __name__ == "__main__":
-    main()
+    # Sleep for a while to prevent the loop from running too fast
+    time.sleep(1)