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app.py

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+import streamlit as st
+from streamlit_chat import message
+from langchain.llms import CTransformers
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.chains import ConversationChain
+from langchain.schema.output_parser import StrOutputParser
+from langchain.memory import ConversationBufferMemory
+from langchain import PromptTemplate, LLMChain
+
+#create llm
+llm = CTransformers(model="Israr-dawar/psychology_chatbot_quantized_model",model_type="llama",
+                    config={'max_new_tokens':128,'temperature':0.01})
+
+def should_finish(next_input):
+  """Returns True if the next input indicates that the user wants to finish the conversation."""
+  return next_input.lower() == "exit"
+
+# Create a prompt template
+template = """
+     You are a good psychologist. Please share your thoughts on the following text:
+     `{text}`
+     Now, could you please ask a question related to this `{text}`?
+"""
+prompt = PromptTemplate(template=template, input_variables=["text"])
+memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
+
+
+# LLM chain with ConversationalBufferMemory object
+chain = LLMChain(prompt=prompt, llm=llm, memory = memory, output_parser = StrOutputParser())
+
+
+st.title("Psychology ChatBot 🧑🏽‍⚕️")
+def conversation_chat(query):
+    result = chain({"question": query, "chat_history": st.session_state['history']})
+    print("restult: ",result)
+    st.session_state['history'].append((query, result["answer"]))
+    return result["answer"]
+
+def initialize_session_state():
+    if 'history' not in st.session_state:
+        st.session_state['history'] = []
+
+    if 'generated' not in st.session_state:
+        st.session_state['generated'] = ["Hello! Ask me anything about 🤗"]
+
+    if 'past' not in st.session_state:
+        st.session_state['past'] = ["Hey! 👋"]
+
+def display_chat_history():
+    reply_container = st.container()
+    container = st.container()
+
+    with container:
+        with st.form(key='my_form', clear_on_submit=True):
+            user_input = st.text_input("Question:", placeholder="Ask about your Mental Health", key='input')
+            submit_button = st.form_submit_button(label='Send')
+
+        if submit_button and user_input:
+            output = conversation_chat(user_input)
+
+            st.session_state['past'].append(user_input)
+            st.session_state['generated'].append(output)
+
+    if st.session_state['generated']:
+        with reply_container:
+            for i in range(len(st.session_state['generated'])):
+                message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="thumbs")
+                message(st.session_state["generated"][i], key=str(i), avatar_style="fun-emoji")
+
+# Initialize session state
+initialize_session_state()
+# Display chat history
+display_chat_history()