Remove app.py file

app.py

@@ -1,133 +0,0 @@
-import asyncio
-from typing import Dict, List
-
-import gradio as gr
-import httpx
-
-API_URL = "http://localhost:8000"
-
-
-async def fetch_similar_datasets(dataset_id: str, limit: int = 5) -> List[Dict]:
-    async with httpx.AsyncClient() as client:
-        response = await client.get(
-            f"{API_URL}/similarity/datasets",
-            params={"dataset_id": dataset_id, "k": limit},
-        )
-        if response.status_code == 200:
-            return response.json()["results"]
-        return []
-
-
-async def fetch_similar_datasets_by_text(query: str, limit: int = 5) -> List[Dict]:
-    async with httpx.AsyncClient() as client:
-        response = await client.get(
-            f"{API_URL}/search/datasets", params={"query": query, "k": limit}
-        )
-        if response.status_code == 200:
-            return response.json()["results"]
-        return []
-
-
-def format_results(results: List[Dict]) -> str:
-    markdown = ""
-
-    for result in results:
-        hub_id = result["dataset_id"]
-        similarity = result["similarity"]
-        summary = result.get("summary", "No summary available.")
-        url = f"https://huggingface.co/datasets/{hub_id}"
-
-        markdown += f"### [{hub_id}]({url})\n"
-        markdown += f"*Similarity: {similarity:.2f}*\n\n"
-        markdown += f"{summary}\n\n"
-        markdown += "---\n\n"
-
-    return markdown
-
-
-with gr.Blocks() as demo:
-    gr.Markdown(
-        """
-        # 🔍 Dataset Explorer
-        Find similar datasets or search by text query
-        """,
-        elem_classes=["center-text"],
-    )
-
-    with gr.Column(variant="panel"):
-        search_type = gr.Radio(
-            ["Dataset ID", "Text Query"],
-            label="Search Method",
-            value="Dataset ID",
-            container=False,
-        )
-
-        with gr.Group():
-            dataset_id = gr.Textbox(
-                value="airtrain-ai/fineweb-edu-fortified",
-                label="Dataset ID",
-                container=False,
-            )
-            text_query = gr.Textbox(
-                label="Text Query",
-                placeholder="Enter at least 3 characters...",
-                container=False,
-                visible=False,
-            )
-
-        with gr.Row():
-            search_btn = gr.Button("🔍 Search", size="lg")
-            max_results = gr.Slider(
-                minimum=1,
-                maximum=20,
-                step=1,
-                value=5,
-                label="Number of results",
-            )
-
-    results = gr.Markdown(elem_classes=["results-container"])
-
-    def toggle_input_visibility(choice):
-        return (
-            gr.update(visible=choice == "Dataset ID"),
-            gr.update(visible=choice == "Text Query"),
-            gr.update(visible=choice == "Dataset ID"),
-        )
-
-    search_type.change(
-        toggle_input_visibility,
-        inputs=[search_type],
-        outputs=[dataset_id, text_query, search_btn],
-    )
-
-    async def search_handler(search_type, dataset_id, text_query, limit):
-        if search_type == "Dataset ID":
-            results = await fetch_similar_datasets(dataset_id, limit)
-        else:
-            results = await fetch_similar_datasets_by_text(text_query, limit)
-
-        if not results:
-            return "No similar datasets found."
-
-        return format_results(results)
-
-    text_query.input(
-        lambda search_type, text_query, limit: asyncio.run(
-            search_handler(search_type, "", text_query, limit)
-        )
-        if len(text_query) >= 3
-        else None,  # Only trigger after 3 characters
-        inputs=[search_type, text_query, max_results],
-        outputs=results,
-        api_name=False,
-    )
-
-    search_btn.click(
-        lambda search_type, dataset_id, text_query, limit: asyncio.run(
-            search_handler(search_type, dataset_id, text_query, limit)
-        ),
-        inputs=[search_type, dataset_id, text_query, max_results],
-        outputs=results,
-    )
-
-demo.launch()