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Update app.py
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app.py
CHANGED
@@ -9,56 +9,55 @@ import tempfile
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import asyncio
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import time
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# Download NLTK tokenizer
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download('punkt')
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#
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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raise ValueError("GEMINI_API_KEY not found in environment variables.")
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genai.configure(api_key=api_key)
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try:
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model = genai.GenerativeModel('gemini-1.5-flash')
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except Exception as e:
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print(f"Error initializing model: {e}")
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print("Available models:")
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for m in genai.list_models():
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print(m.name)
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raise
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PROMPT = """
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You are an AI content reviewer. Analyze the provided text for the following:
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1. Grammar Issues: Identify and suggest corrections for grammatical errors.
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2. Legal Policy Violations: Flag content that may violate common legal policies
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3. Crude/Abusive Language: Detect crude, offensive, or abusive language.
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4. Sensitive Topics: Identify content related to sensitive topics
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Return the results in
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# Blog Review Report
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## Grammar Corrections
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1. [Heading of issue]
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- CONTENT: [
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- SUGGESTION: [
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- ISSUE: [
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[Continue numbering for additional issues or state "None detected"]
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## Legal Policy Violations
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- CONTENT: [
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SUGGESTION: [
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ISSUE: [
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[Or state "None detected"]
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## Crude/Abusive Language
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- [
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## Sensitive Topics
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- [
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"""
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async def fetch_url_content(url):
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try:
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response = requests.get(url, timeout=10)
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@@ -69,6 +68,7 @@ async def fetch_url_content(url):
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except Exception as e:
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return f"Error fetching URL: {str(e)}"
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async def review_blog(text_input, url_input, progress=gr.Progress()):
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if text_input and not url_input:
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input_text = text_input
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@@ -82,7 +82,7 @@ async def review_blog(text_input, url_input, progress=gr.Progress()):
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sentences = sent_tokenize(input_text)
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analysis_text = "\n".join(sentences)
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progress(0.2, desc="Analyzing...")
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try:
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response = await asyncio.to_thread(model.generate_content, PROMPT + "\n\nText to analyze:\n" + analysis_text)
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report = response.text.strip()
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@@ -202,16 +202,12 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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elem_classes=["input-url"]
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)
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with gr.Column(scale=2):
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gr.
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<li>Download the review as Markdown</li>
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</ul>
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</div>
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""")
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status_button = gr.Button("π§ Review Blog", elem_classes=["review-btn"])
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gr.Markdown("### π Review Report")
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import asyncio
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import time
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# Download NLTK tokenizer
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download('punkt')
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# Configure Gemini API
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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raise ValueError("GEMINI_API_KEY not found in environment variables.")
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genai.configure(api_key=api_key)
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# Load Gemini model
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try:
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model = genai.GenerativeModel('gemini-1.5-flash')
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except Exception as e:
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print(f"Error initializing model: {e}")
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for m in genai.list_models():
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print(m.name)
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raise
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# Prompt template
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PROMPT = """
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You are an AI content reviewer. Analyze the provided text for the following:
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1. Grammar Issues: Identify and suggest corrections for grammatical errors.
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2. Legal Policy Violations: Flag content that may violate common legal policies.
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3. Crude/Abusive Language: Detect crude, offensive, or abusive language.
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4. Sensitive Topics: Identify content related to sensitive topics like racism or discrimination.
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Return the results in this markdown format:
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# Blog Review Report
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## Grammar Corrections
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1. [Heading of issue]
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- CONTENT: [Text]
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- SUGGESTION: [Fix]
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- ISSUE: [Explanation]
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## Legal Policy Violations
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- CONTENT: [...]
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SUGGESTION: [...]
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ISSUE: [...]
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## Crude/Abusive Language
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- [Text or βNone detectedβ]
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## Sensitive Topics
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- [Text or βNone detectedβ]
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"""
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# Fetch blog content from URL
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async def fetch_url_content(url):
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try:
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response = requests.get(url, timeout=10)
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except Exception as e:
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return f"Error fetching URL: {str(e)}"
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# Review function
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async def review_blog(text_input, url_input, progress=gr.Progress()):
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if text_input and not url_input:
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input_text = text_input
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sentences = sent_tokenize(input_text)
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analysis_text = "\n".join(sentences)
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progress(0.2, desc="Analyzing blog content...")
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try:
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response = await asyncio.to_thread(model.generate_content, PROMPT + "\n\nText to analyze:\n" + analysis_text)
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report = response.text.strip()
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elem_classes=["input-url"]
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)
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with gr.Column(scale=2):
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gr.Markdown("""
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### π How It Works
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1. **Input**: Paste your blog text or provide a blog URL
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2. **Analysis**: Gemini AI checks for grammar issues, policy violations, and more
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3. **Report**: Instantly download a clean, structured Markdown review
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""")
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status_button = gr.Button("π§ Review Blog", elem_classes=["review-btn"])
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gr.Markdown("### π Review Report")
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