Create botsify

I am a Webapp Generator.

pages/botsify

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+import streamlit as st
+from streamlit_chat import message
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+if 'conversation' not in st.session_state:
+    st.session_state['conversation'] = None
+if 'messages' not in st.session_state:
+    st.session_state['messages'] = []
+if 'model_name' not in st.session_state:
+    st.session_state['model_name'] = "microsoft/DialoGPT-medium"
+
+# Setting page title and header
+st.set_page_config(page_title="Chat GPT Clone", page_icon=":robot_face:")
+st.markdown("<h1 style='text-align: center;'>💻 ChatterBot</h1>", unsafe_allow_html=True)
+st.subheader("How Can I Help You Today? 🤖")
+
+st.sidebar.title("😎🗝️")
+st.session_state['model_name'] = st.sidebar.text_input("Hugging Face Model Name", value="microsoft/DialoGPT-medium")
+summarise_button = st.sidebar.button("Summarise the conversation", key="summarise")
+st.sidebar.image('./chatbot.jpg', width=300, use_column_width=True)
+if summarise_button:
+    summarise_placeholder = st.sidebar.write("Nice chatting with you my friend ❤️:\n\n" + st.session_state['conversation'])
+
+def get_response(userInput):
+
+    if st.session_state['conversation'] is None:
+        tokenizer = AutoTokenizer.from_pretrained(st.session_state['model_name'])
+        model = AutoModelForCausalLM.from_pretrained(st.session_state['model_name'])
+        st.session_state['conversation'] = ""
+
+    input_ids = tokenizer.encode(userInput + tokenizer.eos_token, return_tensors="pt")
+    outputs = model.generate(input_ids, max_length=1024)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    st.session_state['conversation'] += "\n" + response
+
+    return response
+
+response_container = st.container()
+# Here we will have a container for user input text box
+container = st.container()
+
+with container:
+    with st.form(key='my_form', clear_on_submit=True):
+        user_input = st.text_area("Your question goes here:", key='input', height=100)
+        submit_button = st.form_submit_button(label='Send')
+
+        if submit_button:
+            st.session_state['messages'].append(user_input)
+            model_response = get_response(user_input)
+            st.session_state['messages'].append(model_response)
+
+            with response_container:
+                for i in range(len(st.session_state['messages'])):
+                    if (i % 2) == 0:
+                        message(st.session_state['messages'][i], is_user=True, key=str(i) + '_user')
+                    else:
+                        message(st.session_state['messages'][i], key=str(i) + '_AI')