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Update app.py
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app.py
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import streamlit as st
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st.title("π§βπ Advanced AI English Correction & Improvement")
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@st.cache_resource
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def load_correction_model():
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return pipeline("text2text-generation", model="google/flan-t5-large")
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if
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else:
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if user_text != improved_text:
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st.markdown("- Improved sentence structure & readability.")
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st.markdown("- Corrected grammar & punctuation.")
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st.markdown("- Enhanced clarity & coherence.")
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st.info("Review the corrected text carefully to better understand punctuation, grammar rules, and style improvements.")
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else:
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st.success("No issues found. Excellent writing!")
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- Review punctuation usage (commas, question marks, exclamation points).
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- Practice sentence structuring for clarity and readability.
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- Use resources like [Grammarly](https://www.grammarly.com/blog/category/handbook/) and [Purdue OWL](https://owl.purdue.edu/owl/purdue_owl.html) to enhance your writing skills.
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""")
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import streamlit as st
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import requests
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st.title("π English Grammar & Spelling Correction Assistant")
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API_KEY = "YOUR_SAPLING_API_KEY"
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# User input area
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user_text = st.text_area("Enter your sentence or paragraph:", height=200)
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def correct_text_with_sapling(text, api_key):
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url = "https://api.sapling.ai/api/v1/edits"
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headers = {"Content-Type": "application/json"}
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data = {
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"key": api_key,
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"text": text,
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"session_id": "streamlit-session"
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}
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response = requests.post(url, json=data, headers=headers)
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if response.status_code == 200:
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corrections = response.json().get("edits", [])
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corrected_text = text
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offset = 0
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details = []
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# Apply corrections
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for correction in corrections:
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start = correction['start'] + offset
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end = correction['end'] + offset
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original = corrected_text[start:end]
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replacement = correction['replacement']
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# Classify error type
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error_type = correction.get('general_error_type', 'Unknown')
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details.append({
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"original": original,
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"replacement": replacement,
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"type": error_type,
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"sentence": corrected_text[correction['sentence_start']:correction['sentence_end']]
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})
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corrected_text = corrected_text[:start] + replacement + corrected_text[end:]
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offset += len(replacement) - len(original)
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return corrected_text, details
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else:
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return None, None
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if st.button("Correct & Explain"):
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if user_text.strip() == "":
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st.warning("β οΈ Please enter text to correct!")
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else:
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corrected_text, details = correct_text_with_sapling(user_text, API_KEY)
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if corrected_text:
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st.subheader("β
Corrected Text:")
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st.write(corrected_text)
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grammar_issues = []
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punctuation_issues = []
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spelling_pluralization_issues = []
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for detail in details:
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issue_type = detail['type'].lower()
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if "punctuation" in issue_type:
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punctuation_issues.append(detail)
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elif "spelling" in issue_type or "plural" in issue_type:
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spelling_pluralization_issues.append(detail)
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else:
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grammar_issues.append(detail)
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# Display explanations
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st.subheader("π Detailed Explanations:")
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if grammar_issues:
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st.markdown("**π Grammar Issues:**")
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for issue in grammar_issues:
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st.markdown(f"- `{issue['original']}` β‘οΈ `{issue['replacement']}`")
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st.markdown(f" **Context:** {issue['sentence']}")
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if punctuation_issues:
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st.markdown("**π Punctuation Issues:**")
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for issue in punctuation_issues:
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st.markdown(f"- `{issue['original']}` β‘οΈ `{issue['replacement']}`")
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st.markdown(f" **Context:** {issue['sentence']}")
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if spelling_pluralization_issues:
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st.markdown("**π Spelling/Pluralization Issues:**")
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for issue in spelling_pluralization_issues:
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st.markdown(f"- `{issue['original']}` β‘οΈ `{issue['replacement']}`")
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st.markdown(f" **Context:** {issue['sentence']}")
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if not (grammar_issues or punctuation_issues or spelling_pluralization_issues):
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st.success("No issues found. Excellent job!")
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# Learning Suggestions
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st.subheader("π Learning Suggestions:")
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st.markdown("""
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- **Grammar**: Review sentence structure, verb tenses, subject-verb agreement.
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- **Punctuation**: Focus on proper comma, question mark, and exclamation mark usage.
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- **Spelling & Pluralization**: Pay attention to correct spelling and plural forms of nouns.
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Recommended resources:
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- [EnglishGrammar.org](https://www.englishgrammar.org/)
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- [Grammarly Blog](https://www.grammarly.com/blog/category/handbook/)
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""")
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else:
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st.error("Error with API connection. Check your API key or internet connection.")
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