create app.py

app.py

@@ -0,0 +1,62 @@
+import gradio as gr
+from langchain_huggingface import HuggingFacePipeline
+from langchain.agents import initialize_agent, Tool
+from langchain_community.tools import DuckDuckGoSearchRun
+from langchain.memory import ConversationBufferMemory
+from langchain.agents import AgentType
+
+# Load the free open-source LLM (Phi-2 runs on CPU, might be a bit slow but works for free hosting)
+llm = HuggingFacePipeline.from_model_id(
+    model_id="microsoft/phi-2",
+    task="text-generation",
+    pipeline_kwargs={
+        "max_new_tokens": 256,  # Limit response length
+        "do_sample": True,
+        "temperature": 0.7,    # Creativity level
+        "top_k": 50,
+        "top_p": 0.95
+    },
+    model_kwargs={"trust_remote_code": True}  # Required for Phi-2
+)
+
+# Define tools the agent can use (e.g., web search for current info)
+search = DuckDuckGoSearchRun()
+tools = [
+    Tool(
+        name="Web Search",
+        func=search.run,
+        description="Useful for answering questions about current events, facts, or anything requiring up-to-date web information. Input should be a search query."
+    )
+]
+
+# Set up memory to remember conversation history
+memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
+
+# Initialize the conversational agent
+agent = initialize_agent(
+    tools,
+    llm,
+    agent=AgentType.CONVERSATIONAL_REACT_DESCRIPTION,  # Agent type that handles conversations and tools
+    verbose=True,  # Logs reasoning (visible in console, not user-facing)
+    memory=memory  # Enables context understanding across messages
+)
+
+# Gradio chat function: Handles user input and gets agent response
+def chat_with_agent(message, history):
+    try:
+        response = agent.invoke({"input": message})["output"]
+    except Exception as e:
+        response = f"Error: {str(e)}. Try rephrasing your question."
+    return response
+
+# Create the Gradio chat interface
+iface = gr.ChatInterface(
+    fn=chat_with_agent,
+    title="Free Cloud AI Agent",
+    description="A conversational AI agent that remembers our talks and can search the web for info. Powered by Phi-2, LangChain, and hosted free on Hugging Face Spaces. Responses may take 10-30 seconds on free CPU.",
+    examples=["What's the latest news on AI?", "Tell me a joke.", "Remember my name is Alex. What's my name?"]  # Demo prompts
+)
+
+# Launch the app (Hugging Face handles this automatically)
+if __name__ == "__main__":
+    iface.launch()