fix issues

main.py

@@ -8,9 +8,6 @@ from langchain.embeddings import HuggingFaceInferenceAPIEmbeddings
 from langchain.vectorstores import SupabaseVectorStore
 from supabase import Client, create_client
 from stats import add_usage
-from langchain.llms import HuggingFaceEndpoint
-from langchain.chains import ConversationalRetrievalChain
-from langchain.memory import ConversationBufferMemory
 
 supabase_url = st.secrets.SUPABASE_URL
 supabase_key = st.secrets.SUPABASE_KEY
@@ -38,72 +35,42 @@ if openai_api_key:
 if anthropic_api_key:
     models += ["claude-v1", "claude-v1.3",
                "claude-instant-v1-100k", "claude-instant-v1.1-100k"]
+    
 
-if 'question' in st.query_params:
-    query = st.query_params['question']
-    model = "meta-llama/Llama-2-70b-chat-hf"
-    temp = 0.1
-    max_tokens = 500
-    add_usage(supabase, "api", "prompt" + query, {"model": model, "temperature": temp})
-    # print(st.session_state['max_tokens'])
-    endpoint_url = ("https://api-inference.huggingface.co/models/"+ model)
-    model_kwargs = {"temperature" : temp,
-                    "max_new_tokens" : max_tokens,
-                    "return_full_text" : False}
-    hf = HuggingFaceEndpoint(
-        endpoint_url=endpoint_url,
-        task="text-generation",
-        huggingfacehub_api_token=hf_api_key,
-        model_kwargs=model_kwargs
-    )
-    memory = ConversationBufferMemory(memory_key="chat_history", input_key='question', output_key='answer', return_messages=True)
-    qa = ConversationalRetrievalChain.from_llm(hf, retriever=vector_store.as_retriever(search_kwargs={"score_threshold": 0.8, "k": 4,"filter": {"user": username}}), memory=memory, return_source_documents=True)
-    model_response = qa({"question": query})
-    # print( model_response["answer"])
-    sources = model_response["source_documents"]
-    # print(sources)
-    if len(sources) > 0:
-        json = {"response": model_response["answer"]}
-        st.code(json, language="json")
-    else:
-        json = {"response": "I am sorry, I do not have enough information to provide an answer. If there is a public source of data that you would like to add, please email copilot@securade.ai."}
-        st.code(json, language="json")
-    memory.clear()
-else:
-    # Set the theme
-    st.set_page_config(
-        page_title="Securade.ai - Safety Copilot",
-        page_icon="https://securade.ai/favicon.ico",
-        layout="centered",
-        initial_sidebar_state="collapsed",
-        menu_items={
-            "About": "# Securade.ai Safety Copilot v0.1\n [https://securade.ai](https://securade.ai)",
-            "Get Help" : "https://securade.ai",
-            "Report a Bug": "mailto:hello@securade.ai"
-        }
-    )
+# Set the theme
+st.set_page_config(
+    page_title="Securade.ai - Safety Copilot",
+    page_icon="https://securade.ai/favicon.ico",
+    layout="centered",
+    initial_sidebar_state="collapsed",
+    menu_items={
+        "About": "# Securade.ai Safety Copilot v0.1\n [https://securade.ai](https://securade.ai)",
+        "Get Help" : "https://securade.ai",
+        "Report a Bug": "mailto:hello@securade.ai"
+    }
+)
 
-    st.title("👷‍♂️ Safety Copilot 🦺")
+st.title("👷‍♂️ Safety Copilot 🦺")
 
-    st.markdown("Chat with your personal safety assistant about any health & safety related queries.")
-    st.markdown("Up-to-date with latest OSH regulations for Singapore, Indonesia, Malaysia & other parts of Asia.")
+st.markdown("Chat with your personal safety assistant about any health & safety related queries.")
+st.markdown("Up-to-date with latest OSH regulations for Singapore, Indonesia, Malaysia & other parts of Asia.")
 
-    st.markdown("---\n\n")
+st.markdown("---\n\n")
 
-    # Initialize session state variables
-    if 'model' not in st.session_state:
-        st.session_state['model'] = "meta-llama/Llama-2-70b-chat-hf"
-    if 'temperature' not in st.session_state:
-        st.session_state['temperature'] = 0.1
-    if 'chunk_size' not in st.session_state:
-        st.session_state['chunk_size'] = 500
-    if 'chunk_overlap' not in st.session_state:
-        st.session_state['chunk_overlap'] = 0
-    if 'max_tokens' not in st.session_state:
-        st.session_state['max_tokens'] = 500
-    if 'username' not in st.session_state:
-        st.session_state['username'] = username
+# Initialize session state variables
+if 'model' not in st.session_state:
+    st.session_state['model'] = "meta-llama/Llama-2-70b-chat-hf"
+if 'temperature' not in st.session_state:
+    st.session_state['temperature'] = 0.1
+if 'chunk_size' not in st.session_state:
+    st.session_state['chunk_size'] = 500
+if 'chunk_overlap' not in st.session_state:
+    st.session_state['chunk_overlap'] = 0
+if 'max_tokens' not in st.session_state:
+    st.session_state['max_tokens'] = 500
+if 'username' not in st.session_state:
+    st.session_state['username'] = username
 
-    chat_with_doc(st.session_state['model'], vector_store, stats_db=supabase)
+chat_with_doc(st.session_state['model'], vector_store, stats_db=supabase)
 
-    st.markdown("---\n\n")
+st.markdown("---\n\n")