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app.py

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+import streamlit as st
+import os
+import pickle
+import time
+import requests
+
+st.set_page_config(page_title="LEGAL ASSISTANT")
+
+st.markdown(
+    """
+    <style>
+        .title {
+            text-align: center;
+            font-size: 2em;
+            font-weight: bold;
+        }
+    </style>
+    <div class="title">  Psychedelics Chatbot </div>
+    """,
+    unsafe_allow_html=True
+)
+# Load and Save Conversations
+conversations_file = "conversations.pkl"
+
+
+@st.cache_data
+def load_conversations():
+    try:
+        with open(conversations_file, "rb") as f:
+            return pickle.load(f)
+    except (FileNotFoundError, EOFError):
+        return []
+
+
+def save_conversations(conversations):
+    temp_conversations_file = conversations_file
+    with open(temp_conversations_file, "wb") as f:
+        pickle.dump(conversations, f)
+    os.replace(temp_conversations_file, conversations_file)
+
+
+if 'conversations' not in st.session_state:
+    st.session_state.conversations = load_conversations()
+
+if 'current_conversation' not in st.session_state:
+    st.session_state.current_conversation = [{"role": "assistant", "content": "How may I assist you today?"}]
+
+
+def truncate_string(s, length=30):
+    return s[:length].rstrip() + "..." if len(s) > length else s
+
+
+def display_chats_sidebar():
+    with st.sidebar.container():
+        st.header('Settings')
+        col1, col2 = st.columns([1, 1])
+
+        with col1:
+            if col1.button('Start New Chat', key="new_chat"):
+                st.session_state.current_conversation = []
+                st.session_state.conversations.append(st.session_state.current_conversation)
+
+        with col2:
+            if col2.button('Clear All Chats', key="clear_all"):
+                st.session_state.conversations = []
+                st.session_state.current_conversation = []
+
+    with st.sidebar.container():
+        st.header('Conversations')
+        for idx, conversation in enumerate(st.session_state.conversations):
+            if conversation:
+                chat_title_raw = next((msg["content"] for msg in conversation if msg["role"] == "user"), "New Chat")
+                chat_title = truncate_string(chat_title_raw)
+                if st.sidebar.button(f"{chat_title}", key=f"chat_button_{idx}"):
+                    st.session_state.current_conversation = st.session_state.conversations[idx]
+
+
+def main_app():
+    for message in st.session_state.current_conversation:
+        with st.chat_message(message["role"]):
+            st.write(message["content"])
+
+    def generate_response(prompt_input):
+        json = {
+
+            "user_prompt": prompt_input,
+            "chat_history": []
+
+        }
+        response = requests.post('http://18.190.164.123:8000/generate', json=json)
+
+        return response.json()
+
+    if prompt := st.chat_input('Send a Message'):
+        st.session_state.current_conversation.append({"role": "user", "content": prompt})
+        with st.chat_message("user"):
+            st.write(prompt)
+
+        with st.chat_message("assistant"):
+            with st.spinner("Thinking..."):
+                response = generate_response(prompt)
+                st.markdown(response['response'])
+                st.session_state.current_conversation.append({"role": "assistant", "content": response['response']})
+                save_conversations(st.session_state.conversations)
+
+
+display_chats_sidebar()
+
+main_app()

requirements.txt

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+fastapi==0.99.1
+uvicorn==0.23.2
+langchain==v0.0.331rc2
+joblib==1.2.0
+numpy==1.23.5
+pandas==2.0.3
+gtts==2.3.1
+pydantic==1.10.8
+scikit-learn==1.0.2
+pypdf
+tiktoken
+sentence-transformers
+faiss-cpu
+pytesseract
+unstructured_inference
+unstructured==0.7.12
+boto3
+text_generation
+python-multipart
+starlette==0.27.0
+openai==1.3.5
+langchain-openai
+langchain-community
+pymupdf
+rank_bm25