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app.py

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+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, tool
+from pypdf import PdfReader
+import gradio as gr
+
+# 1. Define a tool to read your CV
+@tool
+def read_cv(query: str) -> str:
+    """
+    Reads the user's CV PDF and returns relevant text to answer questions.
+    Args:
+        query: The specific topic to look for in the CV.
+    """
+    reader = PdfReader("My_CV.pdf")
+    text = ""
+    for page in reader.pages:
+        text += page.extract_text()
+    # In a production app, you'd use a vector search here, 
+    # but for a single CV, passing the text works well.
+    return text[:2000] # Return first 2000 chars for context
+
+# 2. Initialize the Agent
+model = HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct")
+agent = CodeAgent(
+    tools=[DuckDuckGoSearchTool(), read_cv], 
+    model=model,
+    add_base_tools=True
+)
+
+def chat_interface(message, history):
+    prompt = f"You are a personal assistant for [Your Name]. Use the read_cv tool to answer questions about their background. If the user asks about companies or events they were involved in, use the web search tool to find more context. Query: {message}"
+    return agent.run(prompt)
+
+# 3. Launch the API
+demo = gr.ChatInterface(fn=chat_interface, title="Agentic CV Bot")
+demo.launch()

requirements.txt

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+smolagents==1.13.0
+gradio
+huggingface_hub
+numpy
+duckduckgo_search
+pandas
+pypdf
+torch