Update app.py

app.py

@@ -6,11 +6,11 @@ from langchain_community.vectorstores import FAISS
 from langchain.chains import RetrievalQA
 from secret1 import GOOGLE_API as google_api
 import PyPDF2
-# def chatbot_response(user_input, history):
-#     # This is a placeholder function. Replace with your actual chatbot logic.
-#     bot_response = "You said: " + user_input
-#     history.append((user_input, bot_response))
-#     return history, history
+def chatbot_response(user_input, history):
+    # This is a placeholder function. Replace with your actual chatbot logic.
+    bot_response = "You said: " + user_input
+    history.append((user_input, bot_response))
+    return history, history
 
 def text_splitter_function(text):
     text_splitter = CharacterTextSplitter(
@@ -63,7 +63,8 @@ with gr.Blocks() as demo:
             input_file=gr.File(label="Upload PDF", file_count="single")
             submit_btn=gr.Button("Submit")
     # submit_btn.click(text_extract, [input_file], [user_input])
-    send_btn.click("chatbot_response",[user_input,state],[chatbot, state])
+    submit_btn.click()
+    send_btn.click(chatbot_response,input=[user_input,state],output="[chatbot, state]")
 
 if __name__ == "__main__":
     embeddings=GooglePalmEmbeddings(google_api_key=google_api)