app.py

import gradio as gr
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain.memory import ConversationBufferMemory
from langchain.chains import ConversationChain
from langchain.agents import AgentExecutor, Tool, ZeroShotAgent, load_tools
from langchain.chains import LLMChain
from langchain_community.utilities import GoogleSearchAPIWrapper
import os

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
SERPAPI_API_KEY = os.getenv("SERPAPI_API_KEY")

llm = ChatGoogleGenerativeAI(
    google_api_key=GOOGLE_API_KEY,
    model="gemini-pro",
    temperature=0.7
)
tools = load_tools(['wikipedia','llm-math'], llm=llm) #,'wikipedia',serpapi
# search = GoogleSearchAPIWrapper()
# tools = [
#     Tool(
#         name="Search",
#         func=search.run,
#         description="useful for when you need to answer questions about current events",
#     )
# ]

prefix = """Have a conversation with a human, answering the following questions as best you can. You have access to the following tools:"""
suffix = """Begin!"

{chat_history}
Question: {input}
{agent_scratchpad}"""

prompt = ZeroShotAgent.create_prompt(
    tools,
    prefix=prefix,
    suffix=suffix,
    input_variables=["input", "chat_history", "agent_scratchpad"],
)
memory = ConversationBufferMemory(memory_key="chat_history",return_messages=True)

llm_chain = LLMChain(llm=llm, prompt=prompt)
agent = ZeroShotAgent(llm_chain=llm_chain, tools=tools, verbose=True)
agent_chain = AgentExecutor.from_agent_and_tools(
    agent=agent, tools=tools, verbose=True, memory=memory
)


# conversation = ConversationChain(
#     llm=llm,
#     verbose=True,
#     memory=ConversationBufferMemory()
# )
def chat(prompt):
    res = agent_chain.run(input=prompt)
    return res,memory.load_memory_variables({})#.chat_history

iface = gr.Interface(
    fn=chat,
    inputs=[gr.Textbox(lines=2, placeholder="Type your message here")],
    outputs=[gr.Textbox(label="Response"), gr.Textbox(label="Conversation History", lines=10)],  # Adjusted for multiple lines
    title="Chat with Gemini-Pro",
    #live=True,  # Enable live updates
)

iface.launch(debug=True)