Csv

app.py

@@ -1,17 +1,29 @@
 import gradio as gr
 import re
+import csv
+import pandas as pd
+
 
 def process_repo_input(text):
     if not text:
-        return "No repo IDs provided."
+        return pd.DataFrame(columns=["repo id", "strength", "weaknesses", "speciality", "relevance rating"])
     # Split by newlines and commas, strip whitespace
     repo_ids = [repo.strip() for repo in re.split(r'[\n,]+', text) if repo.strip()]
-    return f"Entered repo IDs: {', '.join(repo_ids)}"
+    # Write to CSV
+    csv_filename = "repo_ids.csv"
+    with open(csv_filename, mode="w", newline='', encoding="utf-8") as csvfile:
+        writer = csv.writer(csvfile)
+        writer.writerow(["repo id", "strength", "weaknesses", "speciality", "relevance rating"])
+        for repo_id in repo_ids:
+            writer.writerow([repo_id, "", "", "", ""])
+    # Read the CSV into a DataFrame to display
+    df = pd.read_csv(csv_filename)
+    return df
 
 demo = gr.Interface(
     fn=process_repo_input,
     inputs=gr.Textbox(label="Enter repo IDs (comma or newline separated)", lines=5, placeholder="repo1, repo2\nrepo3"),
-    outputs="text",
+    outputs=gr.Dataframe(headers=["repo id", "strength", "weaknesses", "speciality", "relevance rating"]),
     title="Repo ID Input",
     description="Enter repo IDs separated by commas or new lines."
 )

hf_utils.py

@@ -0,0 +1,53 @@
+from huggingface_hub import snapshot_download
+import os
+import shutil
+
+def download_space_repo(space_id: str, local_dir: str = "space_repo"):
+    """
+    Downloads all files from a Hugging Face Space repository.
+
+    Args:
+        space_id (str): The ID of the Hugging Face Space (e.g., "naman1102/Final_Assignment_Template").
+        local_dir (str): Local directory to store the downloaded files.
+    """
+    print(f"Downloading Space '{space_id}'...")
+
+    # Download the snapshot of the space repo
+    repo_path = snapshot_download(repo_id=space_id, repo_type="space")
+
+    # Remove existing directory if it exists
+    if os.path.exists(local_dir):
+        shutil.rmtree(local_dir)
+
+    # Copy contents to target directory
+    shutil.copytree(repo_path, local_dir)
+
+    print(f"All files from Space '{space_id}' downloaded to: {local_dir}")
+
+# Example usage
+# download_space_repo("finegrain/finegrain-image-enhancer")
+
+from huggingface_hub import list_spaces
+
+def search_top_spaces(query: str, limit: int = 5):
+    """
+    Search and return top Hugging Face Space repo IDs based on a keyword.
+
+    Args:
+        query (str): The keyword to search for (e.g., "image", "chatbot").
+        limit (int): Maximum number of results to return.
+
+    Returns:
+        List of repo IDs.
+    """
+    results = list(list_spaces(search=query, sort="likes", direction=-1))  # Convert generator to list
+    top_spaces = [space.id for space in results[:limit]]
+    
+    return top_spaces
+
+# Example usage
+# top_image_spaces = search_top_spaces("tic tac toe", limit=10)
+# print("Top games-related Spaces:")
+# for space_id in top_image_spaces:
+#     print("-", space_id)
+

requirements.txt

@@ -1 +1,4 @@
-gradio
+gradio
+pandas
+re
+csv