Delete pages/Text_Generation.py

pages/Text_Generation.py

@@ -1,74 +0,0 @@
-import streamlit as st
-from hugchat import hugchat
-from hugchat.login import Login
-import os
-
-# App title
-st.set_page_config(page_title="🤗💬 HugChat")
-
-# Hugging Face Credentials
-with st.sidebar:
-    st.title('🤗💬 HugChat')
-    if ('EMAIL' in st.secrets) and ('PASS' in st.secrets):
-        st.success('HuggingFace Login credentials already provided!', icon='✅')
-        hf_email = st.secrets['EMAIL']
-        hf_pass = st.secrets['PASS']
-    else:
-        hf_email = st.text_input('Enter E-mail:', type='password')
-        hf_pass = st.text_input('Enter password:', type='password')
-        if not (hf_email and hf_pass):
-            st.warning('Please enter your credentials!', icon='⚠️')
-        else:
-            st.success('Proceed to entering your prompt message!', icon='👉')
-            
-            #sign = Login(hf_email, hf_pass)
-            #cookies = sign.login()
-            
-
-# Store LLM generated responses
-if "messages" not in st.session_state:
-    st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}]
-
-# Display or clear chat messages
-for message in st.session_state.messages:
-    with st.chat_message(message["role"]):
-        st.write(message["content"])
-
-def clear_chat_history():
-    st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}]
-st.sidebar.button('Clear Chat History', on_click=clear_chat_history)
-
-# Function for generating LLM response
-def generate_response(prompt_input, email, passwd):
-    # Hugging Face Login
-    #sign = Login(email, passwd)
-    #cookies = sign.login()
-    
-    # Create ChatBot                        
-    #chatbot = hugchat.ChatBot(cookies=cookies.get_dict())
-    #return chatbot.chat(prompt_input)
-
-    for dict_message in st.session_state.messages:
-        string_dialogue = "You are a helpful assistant."
-        if dict_message["role"] == "user":
-            string_dialogue += "User: " + dict_message["content"] + "\n\n"
-        else:
-            string_dialogue += "Assistant: " + dict_message["content"] + "\n\n"
-
-    prompt = f"{string_dialogue} {prompt_input} Assistant: "
-    #return chatbot.chat(prompt)
-
-# User-provided prompt
-if prompt := st.chat_input(disabled=not (hf_email and hf_pass)):
-    st.session_state.messages.append({"role": "user", "content": prompt})
-    with st.chat_message("user"):
-        st.write(prompt)
-
-# Generate a new response if last message is not from assistant
-if st.session_state.messages[-1]["role"] != "assistant":
-    with st.chat_message("assistant"):
-        with st.spinner("Thinking..."):
-            response = generate_response(prompt, hf_email, hf_pass) 
-            st.write(response) 
-    message = {"role": "assistant", "content": response}
-    st.session_state.messages.append(message)