Update app.py
Browse files
app.py
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@@ -10,7 +10,6 @@ import base64
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# Constants
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DEFAULT_MODEL = "opengvlab/internvl3-14b:free"
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# No need for placeholder text as we'll use password type input
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DEFAULT_SITE_URL = "https://dynamic-nature-trail-guide.app"
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DEFAULT_SITE_NAME = "Dynamic Nature Trail Guide"
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@@ -18,15 +17,12 @@ DEFAULT_SITE_NAME = "Dynamic Nature Trail Guide"
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SYSTEM_PROMPT = """
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You are the Dynamic Nature Trail Guide, an expert in identifying and explaining natural elements
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found on nature trails. For any image sent, please:
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1. Identify all visible plants, animals, geological features, and ecosystems
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2. Provide educational information about identified elements
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3. Mention any seasonal characteristics visible in the image
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4. Note any ecological significance or conservation considerations
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5. Offer suggestions for what to observe or learn
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Keep explanations informative yet accessible to people of all ages and backgrounds.
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IMPORTANT: Structure your responses with clear sections and headings.
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"""
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@@ -36,7 +32,7 @@ def encode_image_to_base64(image_path):
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return base64.b64encode(image_file.read()).decode('utf-8')
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def format_response_as_html(text):
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"""Convert the model's text response to formatted HTML"""
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if not text:
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return ""
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@@ -44,46 +40,84 @@ def format_response_as_html(text):
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if text.startswith("Error analyzing image:"):
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return f'<div style="color: red; padding: 10px; border: 1px solid red; border-radius: 5px;">{text}</div>'
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#
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# Add some color to certain keywords
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color_mappings = {
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'endangered': '
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'rare': '#FF6600',
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'native': '#
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'invasive': '#CC0000',
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'ecosystem': '#
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'habitat': '#336699',
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}
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for keyword, color in color_mappings.items():
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# Wrap the entire content in a styled div
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html = f'''
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<div style="padding: 15px; font-family: Arial, sans-serif; line-height: 1.6;">
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<p>{text}</p>
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</div>
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'''
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def analyze_image(api_key, image, prompt="What can you identify in this nature trail image? Provide detailed educational information.", site_url=DEFAULT_SITE_URL, site_name=DEFAULT_SITE_NAME, model=DEFAULT_MODEL):
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"""Analyze the uploaded image using the InternVL3 model via OpenRouter"""
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# Remove the placeholder text check
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if not api_key:
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return "<div style='color: red; padding: 10px; border: 1px solid red; border-radius: 5px;'>Please provide an OpenRouter API key.</div>"
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@@ -276,5 +310,4 @@ def create_interface():
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# Create and launch the app
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if __name__ == "__main__":
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app = create_interface()
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app.launch()
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# Constants
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DEFAULT_MODEL = "opengvlab/internvl3-14b:free"
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DEFAULT_SITE_URL = "https://dynamic-nature-trail-guide.app"
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DEFAULT_SITE_NAME = "Dynamic Nature Trail Guide"
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SYSTEM_PROMPT = """
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You are the Dynamic Nature Trail Guide, an expert in identifying and explaining natural elements
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found on nature trails. For any image sent, please:
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1. Identify all visible plants, animals, geological features, and ecosystems
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2. Provide educational information about identified elements
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3. Mention any seasonal characteristics visible in the image
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4. Note any ecological significance or conservation considerations
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5. Offer suggestions for what to observe or learn next on the trail
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Keep explanations informative yet accessible to people of all ages and backgrounds.
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IMPORTANT: Structure your responses with clear sections and headings.
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"""
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return base64.b64encode(image_file.read()).decode('utf-8')
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def format_response_as_html(text):
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"""Convert the model's text response to formatted HTML with improved section handling"""
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if not text:
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return ""
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if text.startswith("Error analyzing image:"):
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return f'<div style="color: red; padding: 10px; border: 1px solid red; border-radius: 5px;">{text}</div>'
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# Parse sections using regex patterns
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# Look for patterns like "### 1. Identification of Elements" or "## Plants:"
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sections = re.split(r'(?:#{1,3}\s*\d*\.?\s*|\*\*)([\w\s]+)(?:\*\*|:)', text)
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# If splitting didn't work well, fall back to a simpler approach
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if len(sections) <= 1:
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# Simple formatting with paragraphs
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text = text.replace('\n\n', '</p><p>')
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return f'<div style="padding: 15px; font-family: Arial, sans-serif; line-height: 1.6;"><p>{text}</p></div>'
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# Build HTML from sections
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html_parts = ['<div style="padding: 15px; font-family: Arial, sans-serif; line-height: 1.6;">']
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for i in range(1, len(sections), 2):
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if i < len(sections) - 1:
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section_title = sections[i].strip()
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section_content = sections[i+1].strip()
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# Apply formatting to section content
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section_content = format_section_content(section_content)
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html_parts.append(f'<div class="section">')
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html_parts.append(f'<h3 style="color: #336699; border-bottom: 1px solid #ccc; padding-bottom: 5px;">{section_title}</h3>')
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html_parts.append(f'<div class="content">{section_content}</div>')
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html_parts.append('</div>')
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# If we couldn't parse sections properly, use the original text
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if len(html_parts) == 1:
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text = format_section_content(text)
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html_parts.append(f'<p>{text}</p>')
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html_parts.append('</div>')
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return ''.join(html_parts)
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def format_section_content(content):
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"""Format the content of a section with enhanced styling"""
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# Replace line breaks with paragraph breaks for better readability
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content = re.sub(r'\n\s*\n', '</p><p>', content)
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content = re.sub(r'\n(?!<\/p>)', '<br>', content)
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# Convert bullet points
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content = re.sub(r'^\s*-\s*(.+?)$', r'<li>\1</li>', content, flags=re.MULTILINE)
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content = re.sub(r'(<li>.*?</li>)', r'<ul>\1</ul>', content, flags=re.DOTALL)
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# Fix nested lists (remove empty ul tags)
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content = re.sub(r'<ul>\s*</ul>', '', content)
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# Handle subsections like "**Plants:**"
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content = re.sub(r'\*\*([\w\s]+):\*\*', r'<h4 style="margin-bottom: 5px; color: #336699;">\1</h4>', content)
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# Enhance species names with bold and italics for scientific names
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content = re.sub(r'\b([A-Z][a-z]+\s+[a-z]+)\b(?!\<\/)', r'<strong><em>\1</em></strong>', content)
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# Add some color to certain keywords
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color_mappings = {
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'endangered': '#e74c3c',
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'rare': '#FF6600',
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'native': '#27ae60',
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'invasive': '#CC0000',
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'ecosystem': '#3498db',
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'habitat': '#336699',
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'conservation': '#16a085',
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'protected': '#9b59b6',
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'biodiversity': '#2ecc71'
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}
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for keyword, color in color_mappings.items():
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content = re.sub(r'\b' + keyword + r'\b', f'<span style="color: {color}; font-weight: bold;">{keyword}</span>', content, flags=re.IGNORECASE)
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# Ensure the content starts and ends with paragraph tags if needed
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if not content.startswith('<p>') and not content.startswith('<ul>') and not content.startswith('<h4'):
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content = '<p>' + content
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if not content.endswith('</p>') and not content.endswith('</ul>'):
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content = content + '</p>'
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return content
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def analyze_image(api_key, image, prompt="What can you identify in this nature trail image? Provide detailed educational information.", site_url=DEFAULT_SITE_URL, site_name=DEFAULT_SITE_NAME, model=DEFAULT_MODEL):
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"""Analyze the uploaded image using the InternVL3 model via OpenRouter"""
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if not api_key:
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return "<div style='color: red; padding: 10px; border: 1px solid red; border-radius: 5px;'>Please provide an OpenRouter API key.</div>"
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# Create and launch the app
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if __name__ == "__main__":
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app = create_interface()
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