Upload 2 files

app.py

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+from langchain.agents import (
+    load_tools,
+    create_react_agent,
+    AgentExecutor,
+    tool,
+)
+from langchain_openai import ChatOpenAI
+from langchain.memory import ConversationBufferMemory
+from langchain_community.tools import DuckDuckGoSearchRun
+from langchain import hub
+import streamlit as st
+
+search = DuckDuckGoSearchRun()
+
+
+@tool
+def duckduckgo_webmd_search(text: str) -> str:
+    """Uses the web to gather more medical information about medical query from webmd.com.
+    Use this tool when you need more medical information from webmd.com to
+    provide more accurate results. Don't use this if you want to search from other websites
+    or if you want information regarding non-medical query. Receives a medical query as input,
+    searches the web for results and gives relevant information as output string"""
+    result = search.run(f"site:webmd.com {text}")
+    output = str(result)
+    return output
+
+
+memory = ConversationBufferMemory(memory_key="chat_history")
+llm = ChatOpenAI(temperature=0)
+tools = load_tools([], llm=llm)
+tools = tools + [duckduckgo_webmd_search]
+
+# Get the prompt to use - you can modify this!
+prompt = hub.pull("hwchase17/react")
+agent = create_react_agent(llm=llm, tools=tools, prompt=prompt)
+
+agent_executor = AgentExecutor(
+    agent=agent,
+    tools=tools,
+    memory=memory,
+    verbose=True,
+    handle_parsing_errors=True,
+)
+
+
+def handle_userinput(user_question):
+    agent_executor.invoke({"input": user_question})
+    st.session_state.chat_history = memory.chat_memory.messages
+
+    for i, message in enumerate(st.session_state.chat_history):
+        if i % 2 == 0:
+            st.markdown(("User: " + message.content))
+        else:
+            st.markdown(("AI: " + message.content))
+
+
+def main():
+    if "conversation" not in st.session_state:
+        st.session_state.conversation = None
+    if "chat_history" not in st.session_state:
+        st.session_state.chat_history = None
+
+    st.header("Ask any medical query that you want answers from webmd.com")
+    user_question = st.chat_input("Ask any medical query")
+    if user_question:
+        handle_userinput(user_question)
+
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+langchain
+openai
+python-dotenv
+langchain-openai
+langchainhub 
+langchain-community
+langchain-experimental
+chromadb
+wikipedia
+duckduckgo-search