Create app.py

app.py

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+import gradio as gr
+from langchain.agents import load_tools, initialize_agent
+from langchain.agents import AgentType
+from langchain.chat_models import ChatOpenAI
+import os
+
+# Set your OpenAI API key (ensure to store it securely in Hugging Face Spaces environment variables)
+#os.environ["OPENAI_API_KEY"] = "your_openai_api_key"
+import warnings
+warnings.filterwarnings("ignore", message=".*TqdmWarning.*")
+from dotenv import load_dotenv
+
+_ = load_dotenv()
+
+# Define the LLM model
+llm_model = "gpt-3.5-turbo"
+llm = ChatOpenAI(temperature=0, model=llm_model)
+
+# Load tools
+tools = load_tools(["llm-math", "wikipedia"], llm=llm)
+
+# Initialize agent
+agent = initialize_agent(
+    tools, 
+    llm, 
+    agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,
+    handle_parsing_errors=True,
+    verbose=True
+)
+
+def chatbot(query):
+    """Handles user query and returns agent response."""
+    try:
+        response = agent.run(query)
+        return response
+    except Exception as e:
+        return str(e)
+
+# Create Gradio interface
+#demo = gr.Interface(
+    #fn=chatbot,
+    #inputs=gr.Textbox(placeholder="Ask me anything..."),
+    #outputs="text",
+    #title="LangChain Agent Chatbot",
+    #description="An interactive chatbot powered by LangChain, OpenAI, and external tools."
+#)
+
+demo = gr.Interface(
+    fn=chatbot,
+    inputs=gr.Textbox(label="Your Question", placeholder="Ask me anything..."),
+    outputs=gr.Textbox(label="Response"),
+    title="LangChain AI Chatbot",
+    description="A smart AI chatbot powered by OpenAI and LangChain.",
+    theme="compact"
+)
+
+
+# Launch the app
+demo.launch()