Create main.py

main.py

@@ -0,0 +1,89 @@
+import gradio as gr
+import requests
+import random
+
+def get_random_dataset(min_likes=None, max_likes=None, task=None, language=None):
+    """Get a single random dataset from HuggingFace with optional filters"""
+    
+    try:
+        # Build API request
+        url = "https://huggingface.co/api/datasets"
+        params = {"limit": 100, "full": "true"}
+        
+        # Add task filter if provided
+        if task:
+            params["filter"] = task
+        
+        # Fetch datasets
+        response = requests.get(url, params=params, timeout=30)
+        response.raise_for_status()
+        datasets = response.json()
+        
+        # Apply filters
+        filtered = []
+        for ds in datasets:
+            likes = ds.get("likes", 0)
+            
+            # Check likes range
+            if min_likes and likes < min_likes:
+                continue
+            if max_likes and likes > max_likes:
+                continue
+            
+            # Check language
+            if language:
+                langs = ds.get("cardData", {}).get("language", [])
+                if isinstance(langs, str):
+                    langs = [langs]
+                if language not in langs:
+                    continue
+            
+            filtered.append(ds)
+        
+        if not filtered:
+            return "No datasets found matching your filters. Try adjusting them."
+        
+        # Pick random dataset
+        dataset = random.choice(filtered)
+        
+        # Format output
+        result = f"""## {dataset.get('id', 'Unknown')}
+
+**Likes:** {dataset.get('likes', 0):,}  
+**Downloads:** {dataset.get('downloads', 0):,}  
+**Author:** {dataset.get('author', 'Unknown')}
+
+**🔗 Link:** https://huggingface.co/datasets/{dataset.get('id', '')}
+
+**Description:**  
+{dataset.get('cardData', {}).get('description', 'No description available')[:300]}...
+
+**Tags:** {', '.join(dataset.get('tags', [])[:8])}
+"""
+        return result
+        
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+with gr.Blocks(title="Random HF Dataset Picker") as app:
+    gr.Markdown("#Random HuggingFace Dataset Picker")
+    gr.Markdown("Pick a completely random dataset with optional filters")
+    
+    with gr.Row():
+        min_likes = gr.Number(label="Min Likes (optional)", precision=0)
+        max_likes = gr.Number(label="Max Likes (optional)", precision=0)
+    
+    task = gr.Textbox(label="Task (optional)", placeholder="e.g., text-classification")
+    language = gr.Textbox(label="Language Code (optional)", placeholder="e.g., en")
+    
+    btn = gr.Button("Pick Random Dataset", variant="primary")
+    output = gr.Markdown()
+    
+    btn.click(
+        fn=get_random_dataset,
+        inputs=[min_likes, max_likes, task, language],
+        outputs=output
+    )
+
+app.launch()