imessam commited on
Commit
fafd57a
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1 Parent(s): e1f3be1

DEV: first trial

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Files changed (4) hide show
  1. .gitignore +1 -0
  2. README.md +2 -0
  3. app.py +26 -50
  4. requirements.txt +3 -1
.gitignore ADDED
@@ -0,0 +1 @@
 
 
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+ *.csv
README.md CHANGED
@@ -9,6 +9,8 @@ app_file: app.py
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  pinned: false
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  license: apache-2.0
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  short_description: Web Searcher MCP Server
 
 
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  ---
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  An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
 
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  pinned: false
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  license: apache-2.0
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  short_description: Web Searcher MCP Server
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+ tags:
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+ - mcp-server-track
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  ---
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  An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
app.py CHANGED
@@ -1,64 +1,40 @@
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  import gradio as gr
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- from huggingface_hub import InferenceClient
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- """
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- 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
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- """
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- client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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- def respond(
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- message,
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- history: list[tuple[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- ):
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- messages = [{"role": "system", "content": system_message}]
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- for val in history:
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- if val[0]:
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- messages.append({"role": "user", "content": val[0]})
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- if val[1]:
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- messages.append({"role": "assistant", "content": val[1]})
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- messages.append({"role": "user", "content": message})
 
 
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- response = ""
 
 
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- for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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- stream=True,
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- temperature=temperature,
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- top_p=top_p,
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- ):
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- token = message.choices[0].delta.content
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- response += token
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- yield response
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-
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-
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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- """
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- demo = gr.ChatInterface(
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- respond,
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- additional_inputs=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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- gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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- gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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- gr.Slider(
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- minimum=0.1,
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- maximum=1.0,
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- value=0.95,
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- step=0.05,
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- label="Top-p (nucleus sampling)",
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- ),
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  ],
 
 
 
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  )
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  if __name__ == "__main__":
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- demo.launch()
 
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  import gradio as gr
 
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+ from langchain_community.tools import DuckDuckGoSearchResults
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+ from typing import Literal, List, Dict
 
 
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+ def search(input_query : str, max_results : int = 5) -> List[Dict[Literal["snippet", "title", "link"], str]]:
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+
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+ """
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+ Perform a web search using DuckDuckGo.
 
 
 
 
 
 
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+ Args:
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+ input_query: The query to search for.
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+ max_results: The maximum number of results to return. Defaults to 5.
 
 
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+ Returns:
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+ A list of dictionaries, each containing "snippet", "title", and "link" keys.
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+ """
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+ search = DuckDuckGoSearchResults(output_format="list", num_results = max_results)
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+
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+ results = search.invoke(input_query)
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+ return results
 
 
 
 
 
 
 
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+ demo = gr.Interface(
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+ fn = search,
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+ inputs=[
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+ gr.Textbox(value="Ahly SC of Egypt matches.", label="Search query"),
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+ gr.Slider(minimum=1, maximum=20, value=5, step=1, label="Max results"),
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ],
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+ outputs=gr.JSON(label="Search results"),
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+ title = "Web Searcher using DuckDuckGo",
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+ description = "Search the web using DuckDuckGo.",
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  )
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+ # Launch the interface and MCP server
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  if __name__ == "__main__":
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+ demo.launch(mcp_server=True)
requirements.txt CHANGED
@@ -1 +1,3 @@
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- huggingface_hub==0.25.2
 
 
 
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+ gradio[mcp]
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+ duckduckgo-search
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+ langchain-community