MCP-Client_SyntheticText_Similarity

.gitignore

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+# PyInstaller
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+# Installer logs
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+.tox/
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+.coverage
+.coverage.*
+.cache
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+.hypothesis/
+.pytest_cache/
+cover/
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+# Django stuff:
+*.log
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+db.sqlite3
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+profile_default/
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+
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+# SageMath parsed files
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+
+# Environments
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+env/
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README.md

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 ---
 title: MCP-Client SyntheticText Similarity
-emoji: 📉
-colorFrom: yellow
-colorTo: green
+emoji: ⚡
+colorFrom: green
+colorTo: gray
 sdk: gradio
-sdk_version: 5.42.0
+sdk_version: 5.33.1
 app_file: app.py
-pinned: false
+pinned: true
 license: mit
+tags:
+  - MCP
+  - MCP-Client
+  - SL-Sprout
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+#########################################################################
+# Copyright (C)                                                       	#
+# 2025-June Sen Li (Sen.Li.Sprout@gmail.com)		     			    #
+# Permission given to modify the code only for Non-Profit Research		#
+# as long as you keep this declaration at the top 						#
+#########################################################################
+import os
+
+import gradio as gr
+import smolagents
+
+# Launch the interface and MCP server
+if __name__ == "__main__":
+    print(f"os.getcwd() = {os.getcwd()}")
+    os.system(f"echo ls -al {os.getcwd()} && ls -al {os.getcwd()}")
+    os.system(f"echo ls -al /: && ls -al /")
+    os.system(f"echo ls -al /home/: && ls -al /home/")
+
+    dictServerParams_TextSimilarity = {
+        "url":          "https://allillusion-mcp-server-textsimilarity.hf.space/gradio_api/mcp/sse",
+        "transport":    "sse",
+    }  # either HF-Space or Local  {"url": "http://localhost:7860/gradio_api/mcp/sse", "transport": ...}
+
+    try:
+        mcpClient_SyntheticText_Similarity = smolagents.mcp_client.MCPClient(dictServerParams_TextSimilarity)
+        print(f"type(mcpClient_SyntheticText_Similarity) = {type(mcpClient_SyntheticText_Similarity)}")
+
+        list_MCPAdaptTools_SyntheticText_Similarity = mcpClient_SyntheticText_Similarity.get_tools()
+        print(f"len(list_MCPAdaptTools_SyntheticText_Similarity) = {len(list_MCPAdaptTools_SyntheticText_Similarity)}")
+        print(f"list_MCPAdaptTools_SyntheticText_Similarity[0]   = {list_MCPAdaptTools_SyntheticText_Similarity[0]}")
+
+        clientModel_Qwen25_Inference = smolagents.InferenceClientModel(model_id = "Qwen/Qwen2.5-Coder-32B-Instruct")
+        print(f"clientModel_Qwen25_Inference.model_id   = {clientModel_Qwen25_Inference.model_id}\n")
+        print(f"clientModel_Qwen25_Inference.client     = {clientModel_Qwen25_Inference.client}")
+
+        codeAgent_Qwen25_SentimentalAnalysis = smolagents.CodeAgent(tools = list_MCPAdaptTools_SyntheticText_Similarity,
+                                                                    model = clientModel_Qwen25_Inference)
+
+        ''' 401 Client Error: Unauthorized for url: https://api-inference.huggingface.co/models/Qwen/Qwen2.5-Coder-32B..
+                    On the space settings, go to Variables and secrets, and create a new secret named HF_TOKEN
+                            The value of the secret should be your access token
+                    If you need to create an access token, go to your HF profile page
+                            On the left menu, go to the access token option, then the Create new token, on the top right
+        '''
+        str_Description = "A simple MCP-Client, Qwen2.5 Agent calling MCP-Server_TextSimilarity as an MCP tool to Generate Synthetic Text with Similarity."   \
+                          " https://huggingface.co/spaces/AllIllusion/MCP-Server_TextSimilarity" \
+                          "  If you see 'Error', that's because my account has exceeded the monthly included credits for Inference Providers (Qwen2.5)."
+
+        def func_genSyntheticText_Similarity(str_RealText):
+            strTask_Message = f'''You are learning and practicing synthetic note writing. Your task is to generate synthetic notes, modeled on real note structure and content. You will learn from a pseudonymized note to guide your language, structure, and reasoning.
+
+            To avoid generating synthetic text from nowhere, you have been provided with pseudonymized, real note for use as a learning example. 
+
+            ### Learning Example (quoted by <Example>...</Example>):
+
+            <Example>{str_RealText}</Example>
+
+            ### Instructions:
+            1. Study the provided learning example.
+            2. Generate a synthetic note that:
+               - Mimics the sentence types and key characteristic distribution of the selected example.
+               - Follows a common sense plausible structure and progression.
+            3. Compare the similarity using the tool MCP-Server_TextSimilarity, between the provided Learning Example and your generated synthetic text.
+            4. Do not return anything other than the synthetic text and the direct output of the tool MCP-Server_TextSimilarity.
+            5. Return the synthetic note, and append the direct output of the tool MCP-Server_TextSimilarity at the end of the output.
+            6. Once you get the direct output of the tool MCP-Server_TextSimilarity, stop processing, no more steps, return immediately the final synthetic text and direct output of the tool MCP-Server_TextSimilarity.
+            7. Note, don't forget the append the direct output of the tool MCP-Server_TextSimilarity at the end of the output.
+            '''
+            print(f"strTask_Message = {strTask_Message}")
+
+            return str(codeAgent_Qwen25_SentimentalAnalysis.run(strTask_Message))
+
+
+        # 03. Gradio UI elements
+        with gr.Blocks(title="MCP-Client: SyntheticText + Tool-Similarity") as grBlocks_SentenceSimilarity__MCP_Server:
+            gr.Markdown(str_Description)
+
+            with gr.Row():
+                grTextBox_RealText      = gr.Textbox(label="Real Text Input", lines=20,
+                                               placeholder="Put your real text here ...", show_label=True)
+                grTextBox_SyntheticText = gr.Textbox(label="Synthetic Text Output with Similarity", lines=20,
+                                               placeholder="Waiting for Real Text Input ...", show_label=True)
+
+            # Set button functionality
+            grTextBox_RealText.change(fn=func_genSyntheticText_Similarity, inputs=grTextBox_RealText, outputs=grTextBox_SyntheticText)
+            gr.Button("Translate").click(fn=func_genSyntheticText_Similarity, inputs=grTextBox_RealText, outputs=grTextBox_SyntheticText)
+
+
+        # 04. Launch Gradio MCP server
+        grBlocks_SentenceSimilarity__MCP_Server.launch(mcp_server=True, share=True)
+
+        
+    finally:
+        mcpClient_SyntheticText_Similarity.disconnect()

requirements.txt

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+smolagents[mcp]
+gradio[mcp]
+mcp