Create app.py

app.py

@@ -0,0 +1,132 @@
+import gradio as gr
+import requests
+import json
+
+MCP_URL = "https://huggingface.co/mcp"
+HEADERS = {
+    "Content-Type": "application/json",
+    "Accept": "application/json, text/event-stream"
+}
+
+def call_mcp_tool(method, params):
+    payload = {
+        "jsonrpc": "2.0",
+        "method": method,
+        "params": params,
+        "id": 1
+    }
+    response = requests.post(MCP_URL, headers=HEADERS, data=json.dumps(payload))
+    try:
+        return response.json()
+    except Exception as e:
+        return {"error": str(e), "raw_response": response.text}
+
+def space_search(query, limit=10, mcp=False):
+    params = {
+        "query": query,
+        "limit": limit,
+        "mcp": mcp
+    }
+    result = call_mcp_tool("tools/call", {"tool": "space_search", "input": params})
+    return result
+
+def model_detail(model_id):
+    params = {
+        "model_id": model_id
+    }
+    result = call_mcp_tool("tools/call", {"tool": "model_detail", "input": params})
+    return result
+
+def paper_search(query, results_limit=12, concise_only=False):
+    params = {
+        "query": query,
+        "results_limit": results_limit,
+        "concise_only": concise_only
+    }
+    result = call_mcp_tool("tools/call", {"tool": "paper_search", "input": params})
+    return result
+
+def dataset_search(query="", author="", tags=None, limit=20, sort="downloads"):
+    if tags is None:
+        tags = []
+    params = {
+        "query": query,
+        "author": author,
+        "tags": tags,
+        "limit": limit,
+        "sort": sort
+    }
+    result = call_mcp_tool("tools/call", {"tool": "dataset_search", "input": params})
+    return result
+
+def dataset_detail(dataset_id):
+    params = {
+        "dataset_id": dataset_id
+    }
+    result = call_mcp_tool("tools/call", {"tool": "dataset_detail", "input": params})
+    return result
+
+def duplicate_space(sourceSpaceId, newSpaceId="", hardware="freecpu", private=True):
+    params = {
+        "sourceSpaceId": sourceSpaceId,
+        "newSpaceId": newSpaceId,
+        "hardware": hardware,
+        "private": private
+    }
+    result = call_mcp_tool("tools/call", {"tool": "duplicate_space", "input": params})
+    return result
+
+with gr.Blocks() as demo:
+    gr.Markdown("# MCP Gradio Client")
+
+    with gr.Tab("Space Search"):
+        query = gr.Textbox(label="Query")
+        limit = gr.Slider(1, 50, value=10, label="Limit")
+        mcp = gr.Checkbox(label="MCP Only")
+        output = gr.JSON()
+        btn = gr.Button("Search")
+        btn.click(space_search, inputs=[query, limit, mcp], outputs=output)
+
+    with gr.Tab("Model Detail"):
+        model_id = gr.Textbox(label="Model ID")
+        output = gr.JSON()
+        btn = gr.Button("Get Details")
+        btn.click(model_detail, inputs=model_id, outputs=output)
+
+    with gr.Tab("Paper Search"):
+        query = gr.Textbox(label="Query")
+        results_limit = gr.Slider(1, 50, value=12, label="Results Limit")
+        concise_only = gr.Checkbox(label="Concise Only")
+        output = gr.JSON()
+        btn = gr.Button("Search")
+        btn.click(paper_search, inputs=[query, results_limit, concise_only], outputs=output)
+
+    with gr.Tab("Dataset Search"):
+        query = gr.Textbox(label="Query")
+        author = gr.Textbox(label="Author")
+        tags = gr.Textbox(label="Tags (comma-separated)")
+        limit = gr.Slider(1, 100, value=20, label="Limit")
+        sort = gr.Dropdown(choices=["downloads", "likes", "lastModified"], value="downloads", label="Sort By")
+        output = gr.JSON()
+        btn = gr.Button("Search")
+        def parse_tags(tags_str):
+            return [tag.strip() for tag in tags_str.split(",") if tag.strip()]
+        btn.click(lambda q, a, t, l, s: dataset_search(q, a, parse_tags(t), l, s),
+                  inputs=[query, author, tags, limit, sort], outputs=output)
+
+    with gr.Tab("Dataset Detail"):
+        dataset_id = gr.Textbox(label="Dataset ID")
+        output = gr.JSON()
+        btn = gr.Button("Get Details")
+        btn.click(dataset_detail, inputs=dataset_id, outputs=output)
+
+    with gr.Tab("Duplicate Space"):
+        sourceSpaceId = gr.Textbox(label="Source Space ID")
+        newSpaceId = gr.Textbox(label="New Space ID")
+        hardware = gr.Dropdown(choices=["freecpu", "zerogpu"], value="freecpu", label="Hardware")
+        private = gr.Checkbox(label="Private", value=True)
+        output = gr.JSON()
+        btn = gr.Button("Duplicate")
+        btn.click(duplicate_space, inputs=[sourceSpaceId, newSpaceId, hardware, private], outputs=output)
+
+demo.launch(mcp_server=True,share=True,debug=True)