Lohia, Aditya
commited on
Commit
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7bf4f09
1
Parent(s):
643a5ff
updates
Browse files
app.py
CHANGED
@@ -4,7 +4,6 @@ import re
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import gradio as gr
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import base64
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import io
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import json
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from PIL import Image
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from typing import Iterator
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@@ -49,6 +48,8 @@ def validate_media(message: str, chat_history: list = None) -> bool:
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bool: True if the number of image files is less than or equal to MAX_NUM_IMAGES, False otherwise
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"""
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image_count = sum(1 for path in message["files"])
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if image_count > MAX_NUM_IMAGES:
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gr.Warning(f"You can upload up to {MAX_NUM_IMAGES} images at a time.")
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@@ -59,6 +60,7 @@ def validate_media(message: str, chat_history: list = None) -> bool:
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file.lower().endswith((".png", ".jpg", ".jpeg")) for file in message["files"]
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):
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gr.Warning("Only images are allowed. Format available: PNG, JPG, JPEG")
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return True
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@@ -129,6 +131,20 @@ def process_images(message: list) -> list[dict]:
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return content
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def process_new_user_message(message: dict) -> list[dict]:
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"""Process the new user message and return a list of dictionaries containing text and image content.
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Args:
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@@ -140,18 +156,32 @@ def process_new_user_message(message: dict) -> list[dict]:
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messages = []
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if message["text"]:
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#
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# If there are files, process the images
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image_content = process_images(message["files"])
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# Append the image content to the messages list
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messages.extend(image_content)
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else:
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# If there are no text parts, throw a gr.Warning to insert prompt and return nothing
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gr.Warning("Please insert a prompt.")
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@@ -300,6 +330,17 @@ examples = [
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],
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]
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demo = gr.ChatInterface(
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fn=run,
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@@ -309,6 +350,7 @@ demo = gr.ChatInterface(
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file_types=["image"],
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file_count="single" if MAX_NUM_IMAGES == 1 else "multiple",
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autofocus=True,
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),
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multimodal=True,
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additional_inputs=[
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@@ -348,8 +390,8 @@ demo = gr.ChatInterface(
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),
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],
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stop_btn=False,
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title="Llama-4
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description=
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fill_height=True,
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run_examples_on_click=False,
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examples=examples,
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import gradio as gr
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import base64
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import io
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from PIL import Image
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from typing import Iterator
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bool: True if the number of image files is less than or equal to MAX_NUM_IMAGES, False otherwise
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"""
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image_count = sum(1 for path in message["files"])
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# Check if there are <image> tags in the prompt and add count
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image_count += message["text"].count("<image>")
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if image_count > MAX_NUM_IMAGES:
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gr.Warning(f"You can upload up to {MAX_NUM_IMAGES} images at a time.")
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file.lower().endswith((".png", ".jpg", ".jpeg")) for file in message["files"]
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):
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gr.Warning("Only images are allowed. Format available: PNG, JPG, JPEG")
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return False
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return True
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return content
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def extract_image_urls_from_tags(message):
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"""Extract image URLs from the <image> tags in the message text.
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Args:
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message (str): message text containing <image> tags
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Returns:
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list[str]: list of image URLs extracted from the <image> tags
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"""
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# Extract all <image> tags from the message text using regex
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image_urls = re.findall(r"<image>(.*?)</image>", message, re.IGNORECASE | re.DOTALL)
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# Basic cleanup: strip whitespace from found URLs
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image_urls = [url.strip() for url in image_urls]
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return image_urls
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def process_new_user_message(message: dict) -> list[dict]:
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"""Process the new user message and return a list of dictionaries containing text and image content.
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Args:
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messages = []
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if message["text"]:
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# Remove the <image> tags from the message text
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prompt = re.sub(
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r"<image>.*?</image>", "", message["text"], flags=re.DOTALL | re.IGNORECASE
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).strip()
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# If the message text is empty after removing <image> tags, return an empty list
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if not prompt:
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gr.Warning("Please insert a prompt.")
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return []
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# If the message text is not empty, append it to the content list
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messages.append({"type": "text", "text": prompt})
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# processing image urls within tags
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image_urls = extract_image_urls_from_tags(message["text"])
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for url in image_urls:
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if not url or not url.lower().startswith(("http://", "https://")):
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continue
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# Append the image URL to the content list
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messages.append({"type": "image_url", "image_url": {"url": url}})
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if message["files"]:
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# If there are files, process the images
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image_content = process_images(message["files"])
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# Append the image content to the messages list
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messages.extend(image_content)
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return messages
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else:
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# If there are no text parts, throw a gr.Warning to insert prompt and return nothing
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gr.Warning("Please insert a prompt.")
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],
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]
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description = f"""
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<div style="text-align: center;">
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<p style="font-size: 1.1em;">
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This Space is an Alpha release that demonstrates <a href="https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8" target="_blank">Llama-4-Maverick</a> model running on AMD MI300 infrastructure. The space is built with Meta Llama 4 <a href="https://www.llama.com/llama4/license/" target="_blank">License</a>. Feel free to play with it!
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</p>
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<p style="font-size:0.9em; font-style: italic; margin-top: 0; margin-bottom:0;">
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You can interleave {MAX_NUM_IMAGES} image using the upload button or enter URL within <code><image>URL</image></code> tag with the prompt.
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</p>
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</div>
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"""
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demo = gr.ChatInterface(
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fn=run,
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file_types=["image"],
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file_count="single" if MAX_NUM_IMAGES == 1 else "multiple",
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autofocus=True,
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placeholder="Type message, drop PNG/JPEG or use <image>URL</image>...",
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),
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multimodal=True,
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additional_inputs=[
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),
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],
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stop_btn=False,
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title="Llama-4 Maverick Instruct",
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description=description,
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fill_height=True,
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run_examples_on_click=False,
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examples=examples,
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