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Update app.py
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app.py
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import gradio as gr
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from PIL import Image
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from PIL.PngImagePlugin import PngInfo
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import requests
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from bs4 import BeautifulSoup
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import os
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import subprocess
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from huggingface_hub import ModelCard, SpaceCard
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# PNG Info Tool
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def png_info(file):
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img = Image.open(file)
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# Web Info Tool
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def web_info(url):
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# Fetch the webpage
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response = requests.get(url)
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soup = BeautifulSoup(response.text, 'html.parser')
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# Extract basic info
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title = soup.title.string if soup.title else "No Title"
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meta_description = soup.find("meta", attrs={"name": "description"})
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description = meta_description["content"] if meta_description else "
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# Extract additional HTML info
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meta_tags = soup.find_all("meta")
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headers = {f"h{i}": len(soup.find_all(f"h{i}")) for i in range(1, 7)}
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links = [a["href"] for a in soup.find_all("a", href=True)]
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# Format the output
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basic_info = f"Title: {title}\nDescription: {description}"
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html_info = f"Meta Tags: {len(meta_tags)}\nHeaders: {headers}\nLinks: {len(links)}"
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return f"{basic_info}\n\nHTML Info:\n{html_info}"
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# Document Info Tool
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def document_info(file):
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# Video Info Tool
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def video_info(file):
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# Display the video
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video_display = file
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# Extract video metadata using ffprobe
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result = subprocess.run(
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["ffprobe", "-v", "error", "-show_format", "-show_streams", file],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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)
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# Return the video display and metadata
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return video_display, result.stdout
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# Model Info Tool
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def model_info(model_id):
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# Space Info Tool
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def space_info(space_id):
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# Gradio Interface
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with gr.Blocks() as demo:
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with gr.Tab("PNG Info"):
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png_input = gr.File(label="Upload PNG File")
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png_output = gr.Textbox(label="PNG
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png_button = gr.Button("Extract PNG Info")
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png_button.click(png_info, inputs=png_input, outputs=png_output)
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with gr.Tab("Document Info"):
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doc_input = gr.File(label="Upload Document")
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doc_button = gr.Button("Extract Document Info")
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with gr.Tab("Video Info"):
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video_input = gr.Video(label="Upload Video")
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with gr.Tab("Model Info"):
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model_input = gr.Textbox(label="Enter Model ID", placeholder="e.g., bert-base-uncased")
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model_button = gr.Button("Fetch Model Info")
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model_button.click(model_info, inputs=model_input, outputs=
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with gr.Tab("Space Info"):
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space_input = gr.Textbox(label="Enter Space ID", placeholder="e.g., gradio/hello-world")
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space_button = gr.Button("Fetch Space Info")
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space_button.click(space_info, inputs=space_input, outputs=
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# Launch the Gradio app
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demo.launch()
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import gradio as gr
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from PIL import Image
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import requests
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from bs4 import BeautifulSoup
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import os
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import subprocess
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from huggingface_hub import ModelCard, SpaceCard, HfApi
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# PNG Info Tool
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def png_info(file):
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img = Image.open(file)
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metadata = img.info
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metadata_str = "\n".join([f"{key}: {value}" for key, value in metadata.items()])
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return metadata_str
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# Web Info Tool
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def web_info(url):
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response = requests.get(url)
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soup = BeautifulSoup(response.text, 'html.parser')
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title = soup.title.string if soup.title else ""
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meta_description = soup.find("meta", attrs={"name": "description"})
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description = meta_description["content"] if meta_description else ""
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meta_tags = soup.find_all("meta")
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headers = {f"h{i}": len(soup.find_all(f"h{i}")) for i in range(1, 7)}
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links = [a["href"] for a in soup.find_all("a", href=True)]
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basic_info = f"Title: {title}\nDescription: {description}"
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html_info = f"Meta Tags: {len(meta_tags)}\nHeaders: {headers}\nLinks: {len(links)}"
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return f"{basic_info}\n\nHTML Info:\n{html_info}"
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# Document Info Tool
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def document_info(file):
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file_extension = os.path.splitext(file.name)[1].lower()
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content = ""
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preview = None
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if file_extension in [".txt", ".md"]:
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with open(file.name, "r") as f:
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content = f.read()
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elif file_extension in [".png", ".jpg", ".jpeg", ".bmp", ".gif"]:
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preview = file.name
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else:
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content = "Unsupported file format"
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return content, preview
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# Video Info Tool
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def video_info(file):
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video_display = file
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result = subprocess.run(
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["ffprobe", "-v", "error", "-show_format", "-show_streams", file],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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)
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return video_display, result.stdout
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# Model Info Tool
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def model_info(model_id):
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try:
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card = ModelCard.load(model_id)
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api = HfApi()
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model_info = api.model_info(model_id)
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by = model_info.author if model_info.author else ""
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description = card.content if card.content else ""
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related_spaces = model_info.siblings
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related_spaces = [s.rfilename for s in related_spaces if s.rfilename.endswith(".py")]
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related_spaces = "\n".join(related_spaces) if related_spaces else ""
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install_instructions = f"pip install transformers\n\n# To use the model:\nfrom transformers import AutoModel, AutoTokenizer\nmodel = AutoModel.from_pretrained('{model_id}')\ntokenizer = AutoTokenizer.from_pretrained('{model_id}')"
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return by, description, related_spaces, install_instructions
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except Exception:
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return "", "", "", ""
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# Space Info Tool
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def space_info(space_id):
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try:
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card = SpaceCard.load(space_id)
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api = HfApi()
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space_info = api.space_info(space_id)
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makes = space_info.author if space_info.author else ""
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description = card.content if card.content else ""
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code_files = space_info.siblings
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code_files = [s.rfilename for s in code_files if s.rfilename.endswith(".py")]
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code = "\n".join(code_files) if code_files else ""
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return makes, code, description
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except Exception:
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return "", "", ""
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# Gradio Interface
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with gr.Blocks() as demo:
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with gr.Tab("PNG Info"):
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png_input = gr.File(label="Upload PNG File")
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png_output = gr.Textbox(label="PNG Metadata", lines=10)
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png_button = gr.Button("Extract PNG Info")
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png_button.click(png_info, inputs=png_input, outputs=png_output)
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with gr.Tab("Document Info"):
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doc_input = gr.File(label="Upload Document")
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content_output = gr.Textbox(label="Content", lines=10, visible=False)
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preview_output = gr.Image(label="Preview (Image)", visible=False)
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doc_button = gr.Button("Extract Document Info")
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def update_output_components(file):
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if file is None:
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return gr.Textbox(visible=False), gr.Image(visible=False)
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file_extension = os.path.splitext(file.name)[1].lower()
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if file_extension in [".txt", ".md"]:
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return gr.Textbox(visible=True), gr.Image(visible=False)
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elif file_extension in [".png", ".jpg", ".jpeg", ".bmp", ".gif"]:
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return gr.Textbox(visible=False), gr.Image(visible=True)
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else:
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return gr.Textbox(visible=True), gr.Image(visible=False)
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doc_button.click(document_info, inputs=doc_input, outputs=[content_output, preview_output])
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doc_input.change(update_output_components, inputs=doc_input, outputs=[content_output, preview_output])
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with gr.Tab("Video Info"):
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video_input = gr.Video(label="Upload Video")
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with gr.Tab("Model Info"):
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model_input = gr.Textbox(label="Enter Model ID", placeholder="e.g., bert-base-uncased")
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by_output = gr.Textbox(label="By", value="")
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description_output = gr.Textbox(label="Description", value="", lines=5)
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spaces_output = gr.Textbox(label="Related Spaces", value="", lines=3)
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install_output = gr.Textbox(label="How to Install", value="", lines=5)
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model_button = gr.Button("Fetch Model Info")
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model_button.click(model_info, inputs=model_input, outputs=[by_output, description_output, spaces_output, install_output])
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with gr.Tab("Space Info"):
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space_input = gr.Textbox(label="Enter Space ID", placeholder="e.g., gradio/hello-world")
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makes_output = gr.Textbox(label="Makes", value="")
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code_output = gr.Textbox(label="Code", value="", lines=5)
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description_output = gr.Textbox(label="Description", value="", lines=10)
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space_button = gr.Button("Fetch Space Info")
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space_button.click(space_info, inputs=space_input, outputs=[makes_output, code_output, description_output])
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# Launch the Gradio app
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demo.launch()
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