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largo commited on
Commit
99b2259
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1 Parent(s): 42763eb

Working the deploy

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Files changed (8) hide show
  1. agent.json +15 -0
  2. agent.py +17 -0
  3. agent.ts +15 -0
  4. app.py +23 -29
  5. app.py.orig +37 -0
  6. gradio-client.py +0 -26
  7. package.json +6 -0
  8. pnpm-lock.yaml +666 -0
agent.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model": "Qwen/Qwen2.5-72B-Instruct",
3
+ "provider": "nebius",
4
+ "servers": [
5
+ {
6
+ "type": "stdio",
7
+ "config": {
8
+ "command": "npx",
9
+ "args": [
10
+ "@playwright/mcp@latest"
11
+ ]
12
+ }
13
+ }
14
+ ]
15
+ }
agent.py ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+
3
+ from huggingface_hub import Agent
4
+
5
+ agent = Agent(
6
+ model="Qwen/Qwen2.5-72B-Instruct",
7
+ provider="nebius",
8
+ servers=[
9
+ {
10
+ "command": "npx",
11
+ "args": [
12
+ "mcp-remote",
13
+ "http://localhost:7860/gradio_api/mcp/sse" # Your Gradio MCP server
14
+ ]
15
+ }
16
+ ],
17
+ )
agent.ts ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ const agent = new Agent({
2
+ provider: process.env.PROVIDER ?? "nebius",
3
+ model: process.env.MODEL_ID ?? "Qwen/Qwen2.5-72B-Instruct",
4
+ apiKey: process.env.HF_TOKEN,
5
+ servers: [
6
+ // ... existing servers ...
7
+ {
8
+ command: "npx",
9
+ args: [
10
+ "mcp-remote",
11
+ "http://localhost:7860/gradio_api/mcp/sse" // Your Gradio MCP server
12
+ ]
13
+ }
14
+ ],
15
+ });
app.py CHANGED
@@ -1,37 +1,31 @@
1
- import json
2
  import gradio as gr
3
- from textblob import TextBlob
4
 
5
- def sentiment_analysis(text: str) -> str:
6
- """
7
- Analyze the sentiment of the given text.
8
 
9
- Args:
10
- text (str): The text to analyze
 
 
 
 
 
 
11
 
12
- Returns:
13
- str: A JSON string containing polarity, subjectivity, and assessment
14
- """
15
- blob = TextBlob(text)
16
- sentiment = blob.sentiment
17
 
18
- result = {
19
- "polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
20
- "subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
21
- "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
22
- }
23
 
24
- return json.dumps(result)
25
 
26
- # Create the Gradio interface
27
- demo = gr.Interface(
28
- fn=sentiment_analysis,
29
- inputs=gr.Textbox(placeholder="Enter text to analyze..."),
30
- outputs=gr.Textbox(), # Changed from gr.JSON() to gr.Textbox()
31
- title="Text Sentiment Analysis",
32
- description="Analyze the sentiment of text using TextBlob"
33
- )
34
 
35
- # Launch the interface and MCP server
36
- if __name__ == "__main__":
37
- demo.launch(mcp_server=True)
 
 
1
  import gradio as gr
2
+ import os
3
 
4
+ from smolagents import InferenceClientModel, CodeAgent, MCPClient
 
 
5
 
6
+ print(f"TOKEN: {os.getenv('HF_HUB_TOKEN')}")
7
+ try:
8
+ mcp_client = MCPClient(
9
+ {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse"}
10
+ )
11
+ # mcp_client = MCPClient(
12
+ # {"url": " http://127.0.0.1:7860/gradio_api/mcp/sse"}
13
+ #)
14
 
15
+ tools = mcp_client.get_tools()
 
 
 
 
16
 
17
+ model = InferenceClientModel(token=os.getenv("HF_HUB_TOKEN"))
 
 
 
 
18
 
19
+ agent = CodeAgent(tools=[*tools], model=model, additional_authorized_imports=["json", "ast", "urllib", "base64"])
20
 
21
+ demo = gr.ChatInterface(
22
+ fn=lambda message, history: str(agent.run(message)),
23
+ type="messages",
24
+ examples=["Analyze the sentiment of the following text 'This is awesome'"],
25
+ title="Agent with MCP Tools",
26
+ description="This is a simple agent that uses MCP tools to answer questions.",
27
+ )
 
28
 
29
+ demo.launch(share=True)
30
+ finally:
31
+ mcp_client.disconnect()
app.py.orig ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import json
2
+ import gradio as gr
3
+ from textblob import TextBlob
4
+
5
+ def sentiment_analysis(text: str) -> str:
6
+ """
7
+ Analyze the sentiment of the given text.
8
+
9
+ Args:
10
+ text (str): The text to analyze
11
+
12
+ Returns:
13
+ str: A JSON string containing polarity, subjectivity, and assessment
14
+ """
15
+ blob = TextBlob(text)
16
+ sentiment = blob.sentiment
17
+
18
+ result = {
19
+ "polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
20
+ "subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
21
+ "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
22
+ }
23
+
24
+ return json.dumps(result)
25
+
26
+ # Create the Gradio interface
27
+ demo = gr.Interface(
28
+ fn=sentiment_analysis,
29
+ inputs=gr.Textbox(placeholder="Enter text to analyze..."),
30
+ outputs=gr.Textbox(), # Changed from gr.JSON() to gr.Textbox()
31
+ title="Text Sentiment Analysis",
32
+ description="Analyze the sentiment of text using TextBlob"
33
+ )
34
+
35
+ # Launch the interface and MCP server
36
+ if __name__ == "__main__":
37
+ demo.launch(mcp_server=True)
gradio-client.py DELETED
@@ -1,26 +0,0 @@
1
- import gradio as gr
2
- import os
3
-
4
- from smolagents import InferenceClientModel, CodeAgent, MCPClient
5
-
6
-
7
- try:
8
- mcp_client = MCPClient(
9
- {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse"}
10
- )
11
- tools = mcp_client.get_tools()
12
-
13
- model = InferenceClientModel(token=os.getenv("HF_HUB_TOKEN"))
14
- agent = CodeAgent(tools=[*tools], model=model, additional_authorized_imports=["json", "ast", "urllib", "base64"])
15
-
16
- demo = gr.ChatInterface(
17
- fn=lambda message, history: str(agent.run(message)),
18
- type="messages",
19
- examples=["Analyze the sentiment of the following text 'This is awesome'"],
20
- title="Agent with MCP Tools",
21
- description="This is a simple agent that uses MCP tools to answer questions.",
22
- )
23
-
24
- demo.launch()
25
- finally:
26
- mcp_client.disconnect()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
package.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "dependencies": {
3
+ "mcp-remote": "^0.1.15"
4
+ },
5
+ "packageManager": "[email protected]+sha512.6540583f41cc5f628eb3d9773ecee802f4f9ef9923cc45b69890fb47991d4b092964694ec3a4f738a420c918a333062c8b925d312f42e4f0c263eb603551f977"
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+ }
pnpm-lock.yaml ADDED
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+ lockfileVersion: '9.0'
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+
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+ settings:
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+ autoInstallPeers: true
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+ excludeLinksFromLockfile: false
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+ importers:
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+ .:
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+ version: 0.1.15
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