Create app.py

app.py

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+import gradio as gr
+from langchain.agents.openai_assistant import OpenAIAssistantRunnable
+from openai import OpenAI
+import os
+#sk
+assit_public = = os.getenv('assit_public')
+Secret = = os.getenv('Secret')
+assit_Public_to_Compliance == os.getenv('assit_Public_to_Compliance')
+Confidential_HR_Director = = os.getenv('Confidential_HR_Director') 
+apikey =os.getenv('openAI') 
+#apikey = os.getenv('openAI')  #key from client
+#agentkey = os.getenv('asstID')
+os.environ["OPENAI_API_KEY"] = apikey
+# assit_public 
+# Secret 
+# assit_Public_to_Compliance 
+# Confidential_HR_Director
+def get_answer(selected_knowledge_base, question):
+    if selected_knowledge_base == "Public":
+        assist = assit_public   # Lyft tool
+    elif selected_knowledge_base == "Secret":
+        assist = Secret   # Uber tool
+    elif selected_knowledge_base == "Public_to_Compliance":
+        assist = assit_Public_to_Compliance   # Uber tool
+    elif selected_knowledge_base == "HR_Director":
+        assist = Confidential_HR_Director  # Uber tool
+    else:
+        return "Invalid knowledge base selected."
+
+    # # Use the selected tool to get the answer
+    # response = agent.chat(question) #, tools=[selected_tool]
+    interpreter_assistant = OpenAIAssistantRunnable(assistant_id= assist)
+    output = interpreter_assistant.invoke({"content": question})
+    response = output[0].content[0].text.value
+    return response
+
+gr.Interface(
+    fn=get_answer,
+    css=css, js = js_func, theme="soft", # base. citrus. soft glass. ocean
+    inputs=[
+        gr.Dropdown(
+            choices=["Public", "Secret", "Public_to_Compliance","HR_Director"],
+            label="Select Knowledge Base"
+        ),
+        gr.Textbox(label="Enter your question", lines=3)
+    ],
+    outputs="text",
+    title="Finance Companies Control System",
+    description="Ask questions related to the Finance Companies Control System.",
+).launch(debug = True)