Update app configurations and dependencies

.gitignore

@@ -148,4 +148,8 @@ Desktop.ini
 # Gradio specific
 gradio_cached_examples/
 *.db
-flagged/ 
+flagged/ 
+
+logs/
+
+

README.md

@@ -4,12 +4,13 @@ emoji: 💬
 colorFrom: yellow
 colorTo: purple
 sdk: gradio
-sdk_version: 5.0.1
-app_file: app1.py
+sdk_version: 5.32.0
+app_file: app.py
 pinned: false
 license: mit
 short_description: minion running in space
 tags:
+  - mcp-server-track
   - agent-demo-track
 ---
 

app.py

@@ -15,6 +15,19 @@ def respond(
     temperature,
     top_p,
 ):
+    """Generate a response from the language model based on user input and chat history.
+
+    Args:
+        message (str): The latest user message to respond to.
+        history (list[tuple[str, str]]): List of (user, assistant) message pairs representing the conversation history.
+        system_message (str): Instruction or context for the assistant's behavior.
+        max_tokens (int): Maximum number of tokens to generate in the response.
+        temperature (float): Sampling temperature for response randomness.
+        top_p (float): Nucleus sampling probability threshold.
+
+    Yields:
+        str: The progressively generated response from the assistant.
+    """
     messages = [{"role": "system", "content": system_message}]
 
     for val in history:
@@ -61,4 +74,4 @@ demo = gr.ChatInterface(
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(mcp_server=True)

app1.py

@@ -1,25 +1,43 @@
 import gradio as gr
+import asyncio
+import os
 
+from minion import config
+from minion.main import LocalPythonEnv
+from minion.main.rpyc_python_env import RpycPythonEnv
+from minion.main.brain import Brain
+from minion.providers import create_llm_provider
 
-def letter_counter(word, letter):
-    """Count the occurrences of a specific letter in a word.
+# 初始化 brain（只初始化一次，避免每次请求都重建）
+def build_brain():
+    model = "gpt-4.1"
+    llm_config = config.models.get(model)
+    llm = create_llm_provider(llm_config)
+    #python_env = RpycPythonEnv(port=3007)
+    python_env = LocalPythonEnv(verbose=False)
+    brain = Brain(
+        python_env=python_env,
+        llm=llm,
+    )
+    return brain
 
-    Args:
-        word: The word or phrase to analyze
-        letter: The letter to count occurrences of
+brain = build_brain()
 
-    Returns:
-        The number of times the letter appears in the word
-    """
-    return word.lower().count(letter.lower())
+async def minion_respond_async(query):
+    obs, score, *_ = await brain.step(query=query, route="python", check=False)
+    return obs
 
+def minion_respond(query):
+    # gradio sync接口，自动调度async
+    return asyncio.run(minion_respond_async(query))
 
 demo = gr.Interface(
-    fn=letter_counter,
-    inputs=["text", "text"],
-    outputs="number",
-    title="Letter Counter",
-    description="Count how many times a letter appears in a word"
+    fn=minion_respond,
+    inputs="text",
+    outputs="text",
+    title="Minion Brain Chat",
+    description="用 Minion1 Brain 作为后端的智能问答"
 )
 
-demo.launch(mcp_server=True)
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

@@ -1,2 +1,3 @@
 gradio[mcp]==5.32.0
-huggingface_hub>=0.28.1
+huggingface_hub>=0.28.1
+minionx>=0.1.1