MCP Server 1st launch

app.py

@@ -1,64 +1,63 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+from duckduckgo_search import DDGS
+#from huggingface_hub import InferenceClient
+
+# Simulated knowledge base
+TROUBLESHOOTING_KB = {
+    "wifi not working": [
+        "Check if your router is turned on.",
+        "Restart your router.",
+        "Ensure your device is connected to the correct Wi-Fi network.",
+        "Try connecting another device to determine if the issue is with your device or the network."
     ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+    "computer is slow": [
+        "Close unused applications.",
+        "Check for viruses using antivirus software.",
+        "Restart your computer.",
+        "Check for available updates and install them."
+    ]
+}
+
+# Tool: search_knowledge_base
+def search_knowledge_base(problem: str):
+    problem = problem.lower()
+    for key in TROUBLESHOOTING_KB:
+        if key in problem:
+            return TROUBLESHOOTING_KB[key]
+    return ["No matching solution found in the knowledge base."]
+
+# Tool: search_web
+def search_web(query: str):
+    results = []
+    with DDGS() as ddgs:
+        for r in ddgs.text(query, max_results=3):
+            results.append({
+                "title": r["title"],
+                "body": r["body"],
+                "href": r["href"]
+            })
+    return results
+
+# Optional Tool: visit_webpage
+def visit_webpage(url: str):
+    return f"Stub for visiting {url}"
+
+# Optional Tool: format_response
+def format_response(text: str):
+    return f"🛠️ Troubleshooting Steps:\n{text}"
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# 🧠 Troubleshooting MCP Server")
+
+    with gr.Row():
+        kb_input = gr.Textbox(label="Describe your problem")
+        kb_output = gr.JSON(label="Knowledge Base Steps")
+        gr.Button("Search KB").click(search_knowledge_base, inputs=kb_input, outputs=kb_output)
+
+    with gr.Row():
+        web_input = gr.Textbox(label="Enter search query")
+        web_output = gr.JSON(label="Web Search Results")
+        gr.Button("Search Web").click(search_web, inputs=web_input, outputs=web_output)
+
+demo.launch(mcp_server=True)