Update app.py

app.py

@@ -17,7 +17,7 @@ os.environ["TOKENIZERS_PARALLELISM"] = "false"
 #os.system('conda install -c conda-forge poppler')
 import streamlit as st
 st.set_page_config(page_title="Summarization Tool", layout="wide", initial_sidebar_state="expanded")
-st.title("Chatbot and Bangla/English Text Summarizer: Upload Images/Pdf or input texts to summarize!")
+st.title("Bangla/English Text Summarizer: Upload Images/Pdf or input texts to summarize!")
 import torch
 import docx2txt
 from PIL import Image 
@@ -170,41 +170,6 @@ def main():
                     bansum(text)
                 if c9.button("English"): 
                     engsum(text) 
-             
-    with st.container():
-        from streamlit_chat import message as st_message
-        from transformers import BlenderbotTokenizer
-        from transformers import BlenderbotForConditionalGeneration
-        st.title("Chatbot!!!")
-        
-        @st.experimental_singleton
-        def get_models():
-            # it may be necessary for other frameworks to cache the model
-            # seems pytorch keeps an internal state of the conversation
-            model_name = "facebook/blenderbot-400M-distill"
-            tokenizer = BlenderbotTokenizer.from_pretrained(model_name)
-            model = BlenderbotForConditionalGeneration.from_pretrained(model_name)
-            return tokenizer, model
-        if "history" not in st.session_state:
-            st.session_state.history = []
-       # st.title("Hello bot: ")
-        def generate_answer():
-            tokenizer, model = get_models()
-            user_message = st.session_state.input_text
-            inputs = tokenizer(st.session_state.input_text, return_tensors="pt")
-            result = model.generate(**inputs)
-            message_bot = tokenizer.decode(
-                result[0], skip_special_tokens=True
-            )  # .replace("<s>", "").replace("</s>", "")
-            st.session_state.history.append({"message": user_message, "is_user": True})
-            st.session_state.history.append({"message": message_bot, "is_user": False})
-        from copyreg import clear_extension_cache
-        if st.session_state.history!=[]:
-            for chat in st.session_state.history:
-                st_message(**chat)
-        st.text_input("Talk to the bot", key="input_text", on_change=generate_answer)
-        if st.button("Refresh/New Chat"):
-           st.session_state.history = []
             
 if __name__ == "__main__":
     main()