Update app.py

app.py

@@ -0,0 +1,30 @@
+import streamlit 
+import langchain
+from langchain.llms import GenerativeModel
+
+# Replace with your Gemini API key
+API_KEY = "AIzaSyBI2C5bFa0JsvCCyabbyANg8LUjcpqUiVM"
+
+# Configure the model
+llm = GenerativeModel("google-llm/text-davinci-003", api_key=API_KEY)
+
+def generate_response(user_input):
+  """
+  Sends user input to Gemini and returns its response.
+
+  Args:
+      user_input: The user's message.
+
+  Returns:
+      The generated response from Gemini.
+  """
+  prompt ={user_input}
+  response = llm.generate_content(prompt=prompt)
+  return response.content[0]["text"]
+
+while True:
+  user_input = input("enter your text")
+  if user_input.lower() == "quit":
+    break
+  response = generate_response(user_input)
+  st.write( {response})