Update app.py

app.py

@@ -1,64 +1,31 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
+# Import necessary libraries
+import random
+from smolagents import CodeAgent, InferenceClientModel
 
-"""
-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")
+# Import our custom tools from their modules
+from tools import DuckDuckGoSearchTool, WeatherInfoTool, HubStatsTool
+from retriever import load_guest_dataset
 
+# Initialize the Hugging Face model
+model = InferenceClientModel()
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+# Initialize the web search tool
+search_tool = DuckDuckGoSearchTool()
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+# Initialize the weather tool
+weather_info_tool = WeatherInfoTool()
 
-    messages.append({"role": "user", "content": message})
+# Initialize the Hub stats tool
+hub_stats_tool = HubStatsTool()
 
-    response = ""
+# Load the guest dataset and initialize the guest info tool
+guest_info_tool = load_guest_dataset()
 
-    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)",
-        ),
-    ],
+# Create Alfred with all the tools
+alfred = CodeAgent(
+    tools=[guest_info_tool, weather_info_tool, hub_stats_tool, search_tool], 
+    model=model,
+    add_base_tools=True,  # Add any additional base tools
+    planning_interval=3   # Enable planning every 3 steps
 )
 
-
-if __name__ == "__main__":
-    demo.launch()