potential qurstions

app.py

@@ -11,6 +11,7 @@ from langchain.llms import OpenAI
 from langchain.prompts import PromptTemplate
 from langchain.chat_models import ChatOpenAI
 from langchain.schema import AIMessage, HumanMessage, SystemMessage
+import gradio as gr
 
 dotenv.load_dotenv()
 
@@ -44,7 +45,29 @@ embeddings = OpenAIEmbeddings()
 docsearch = Chroma.from_documents(texts, embeddings).as_retriever()
 chat = ChatOpenAI(temperature=0.9)
 
-import gradio as gr
+
+potential_questions = [
+    "ποια ειναι η εταιρεια;",
+    "ποια ειναι τα βηματα για ενα δανειο;",
+    "πως μπορω να κλεισω ραντεβου;",
+    "γιατι να ερθώ σε εσας;",
+]
+
+for question in potential_questions:
+    result_docs = docsearch.get_relevant_documents(question)
+
+    print("Question: ", question)
+    print("-" * 20)
+
+    messages = [SystemMessage(content=system_message)]
+    human_message = HumanMessage(
+        content=PROMPT.format(context=result_docs[:3], question=question)
+    )
+    messages.append(human_message)
+    result = chat(messages)
+
+    print("Response: ", result, "\n")
+
 
 with gr.Blocks() as demo:
     chatbot = gr.Chatbot()
@@ -70,5 +93,6 @@ with gr.Blocks() as demo:
 
     msg.submit(respond, [msg, chatbot], [msg, chatbot])
 
+
 if __name__ == "__main__":
     demo.launch()