Create app.py

app.py

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+import nltk
+from nltk.corpus import wordnet
+import streamlit as st
+
+# Download required NLTK resources if you haven't already
+nltk.download('punkt')
+nltk.download('wordnet')
+nltk.download('averaged_perceptron_tagger')
+
+def rewrite_content(text):
+    # Tokenize the text
+    tokens = nltk.word_tokenize(text)
+
+    # Tag the tokens with their part-of-speech
+    tagged_tokens = nltk.pos_tag(tokens)
+
+    # Iterate over the tagged tokens and replace words with synonyms
+    rewritten_text = []
+    for token, tag in tagged_tokens:
+        # Fetch synonyms for the word
+        synonyms = wordnet.synsets(token)
+        if synonyms:
+            # Choose the first synonym
+            synonym = synonyms[0].lemmas()[0].name()
+            # Ensure the synonym is not the same as the original word
+            if synonym.lower() != token.lower():
+                rewritten_text.append(synonym.replace('_', ' '))
+            else:
+                rewritten_text.append(token)
+        else:
+            rewritten_text.append(token)
+
+    # Join the rewritten tokens back into a string
+    rewritten_content = ' '.join(rewritten_text)
+
+    # Maintain paragraph structure
+    paragraphs = text.split('\n')
+    rewritten_paragraphs = []
+    token_index = 0
+
+    for paragraph in paragraphs:
+        paragraph_tokens = nltk.word_tokenize(paragraph)
+        rewritten_paragraph = ' '.join(rewritten_text[token_index:token_index + len(paragraph_tokens)])
+        rewritten_paragraphs.append(rewritten_paragraph)
+        token_index += len(paragraph_tokens)
+
+    return '\n'.join(rewritten_paragraphs)
+
+# Create a Streamlit interface
+st.title("Text Rewriter")
+st.write("Note: The rewrite content limit is 200000 words.")
+
+input_text = st.text_area("Enter text to rewrite", height=300)
+
+# Count words in the input text
+word_count = len(nltk.word_tokenize(input_text))
+
+# Display the current word count
+st.write(f"Word count: {word_count} / 200000")
+
+if st.button("Rewrite"):
+    if input_text:
+        if word_count <= 200000:
+            rewritten_text = rewrite_content(input_text)
+            st.subheader("Rewritten Text")
+            st.text_area("", rewritten_text, height=300)
+        else:
+            st.error("The text exceeds 200000 words. Please enter fewer words.")
+    else:
+        st.error("Please enter some text.")