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Update app.py
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app.py
CHANGED
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@@ -1,15 +1,13 @@
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import gradio as gr
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from huggingface_hub import list_models
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from
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from reportlab.pdfgen import canvas
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import tempfile
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import os
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def get_models(username):
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if not username.strip():
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result = [["-", "Please enter a valid username or organization.", "-", "-"]]
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return result,
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try:
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models = list_models(author=username.strip())
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@@ -33,70 +31,45 @@ def get_models(username):
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model_url
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])
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if results:
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table_results = [row[:
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return table_results,
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else:
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result = [["-", f"No models found for '{username}'.", "-", "-"]]
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return result,
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except Exception as e:
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result = [["-", f"Error: {str(e)}", "-", "-"]]
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return result,
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def
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# Create a temporary file for PDF
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tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".pdf")
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p = canvas.Canvas(tmp.name, pagesize=letter)
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width, height = letter
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x_margin = 50
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y_margin = 30
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max_rows_per_page = 40
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line_height = 20
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p.setFont("Helvetica-Bold", 16)
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p.drawString(x_margin, height - y_margin, "Hugging Face Model Explorer Results")
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p.setFont("Helvetica", 11)
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y = height - y_margin - 30
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headers = ["Model Name", "Description", "Downloads", "Tags", "URL"]
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p.setFont("Helvetica", 10)
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row_count = 0
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for row in data_rows:
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p.drawString(x_margin, y, " | ".join(printable))
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y -= line_height
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row_count += 1
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if row_count % max_rows_per_page == 0:
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p.showPage()
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y = height - y_margin - 30
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p.setFont("Helvetica-Bold", 12)
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p.drawString(x_margin, y, " | ".join(headers))
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y -= line_height
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p.setFont("Helvetica", 10)
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p.save()
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tmp.close()
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return tmp.name
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with gr.Blocks() as demo:
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gr.Markdown("## 🤗 Hugging Face Model Explorer\nEnter a username/org to see all public models and download info as
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username = gr.Textbox(label="HuggingFace Username or Organization", placeholder="e.g. Snaseem2026")
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table = gr.Dataframe(headers=["Name", "Description", "Downloads", "Tags"], interactive=False)
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def
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df,
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return df,
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search_btn = gr.Button("Search & Generate
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search_btn.click(
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inputs=username,
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outputs=[table,
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)
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if __name__ == "__main__":
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import gradio as gr
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from huggingface_hub import list_models
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from openpyxl import Workbook
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import tempfile
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def get_models(username):
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if not username.strip():
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result = [["-", "Please enter a valid username or organization.", "-", "-", "-"]]
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xlsx_path = create_excel(result)
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return [row[:-1] for row in result], xlsx_path
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try:
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models = list_models(author=username.strip())
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model_url
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])
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if results:
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xlsx_path = create_excel(results)
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table_results = [row[:-1] for row in results] # Do not show URL column in Gradio table
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return table_results, xlsx_path
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else:
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result = [["-", f"No models found for '{username}'.", "-", "-", "-"]]
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xlsx_path = create_excel(result)
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return [row[:-1] for row in result], xlsx_path
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except Exception as e:
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result = [["-", f"Error: {str(e)}", "-", "-", "-"]]
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xlsx_path = create_excel(result)
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return [row[:-1] for row in result], xlsx_path
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def create_excel(data_rows):
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headers = ["Model Name", "Description", "Downloads", "Tags", "URL"]
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wb = Workbook()
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ws = wb.active
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ws.append(headers)
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for row in data_rows:
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ws.append(row)
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tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".xlsx")
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wb.save(tmp.name)
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tmp.close()
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return tmp.name
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with gr.Blocks() as demo:
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gr.Markdown("## 🤗 Hugging Face Model Explorer\nEnter a username/org to see all public models and download info as Excel!")
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username = gr.Textbox(label="HuggingFace Username or Organization", placeholder="e.g. Snaseem2026")
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table = gr.Dataframe(headers=["Name", "Description", "Downloads", "Tags"], interactive=False)
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download_excel = gr.File(label="Download Excel") # Shows a download link/button
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def search_and_excel(user):
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df, excel_path = get_models(user)
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return df, excel_path
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search_btn = gr.Button("Search & Generate Excel")
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search_btn.click(
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search_and_excel,
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inputs=username,
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outputs=[table, download_excel]
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)
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if __name__ == "__main__":
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