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Update app.py
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app.py
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@@ -11,28 +11,62 @@ model_id = "selamw/BirdWatcher"
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bnb_config = BitsAndBytesConfig(load_in_8bit=True)
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def convert_to_markdown(input_text):
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"""
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Args:
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input_text (str): The input text containing bird information.
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Returns:
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str: The formatted Markdown text.
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"""
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bold_words = ['
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# Split into title and content
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for word in bold_words:
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content =
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# Construct the Markdown output with headings
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formatted_output = f"**{title}**{content}"
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return formatted_output.strip()
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@spaces.GPU
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def infer_fin_pali(image, question):
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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bnb_config = BitsAndBytesConfig(load_in_8bit=True)
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# def convert_to_markdown(input_text):
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# """Converts bird information text to Markdown format,
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# making specific keywords bold and adding headings.
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# Args:
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# input_text (str): The input text containing bird information.
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# Returns:
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# str: The formatted Markdown text.
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# """
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# bold_words = ['Look:', 'Cool Fact!:', 'Habitat:', 'Food:', 'Birdie Behaviors:']
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# # Split into title and content based on the first ":", handling extra whitespace
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# if len(input_text.split(":", 1)) > 1:
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# title, content = map(str.strip, input_text.split(":", 1))
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# # Bold the keywords
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# for word in bold_words:
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# content = content.replace(word, f'\n\n**{word}')
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# # Construct the Markdown output with headings
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# formatted_output = f"**{title}**{content}"
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# else:
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# formatted_output = input_text
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# return formatted_output.strip()
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import re
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def convert_to_markdown(input_text):
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"""
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Converts bird information text to Markdown format,
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making specific keywords bold and adding headings.
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Args:
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input_text (str): The input text containing bird information.
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Returns:
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str: The formatted Markdown text.
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"""
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bold_words = ['look:', 'cool fact!:', 'habitat:', 'food:', 'birdie behaviors:']
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# Split into title and content, handle missing ":"
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if ":" in input_text:
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title, content = map(str.strip, input_text.split(":", 1))
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else:
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title = input_text
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content = ""
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# Bold the keywords (case-insensitive, word boundaries)
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for word in bold_words:
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content = re.sub(rf"\b({word.lower()})\b", r"**\1**", content.lower())
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# Construct Markdown output
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formatted_output = f"**{title}**\n{content}"
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return formatted_output.strip()
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@spaces.GPU
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def infer_fin_pali(image, question):
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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