Spaces:
Sleeping
Sleeping
File size: 7,325 Bytes
a4200f5 0090bd8 a4200f5 b58084d 2b8356a f185462 2b8356a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 |
from utlis.helper import *
initialize_session_state()
with st.sidebar:
st.title("Smart Retrieval")
# Get List of models
llms = ['Cohere','Gemini-Pro','Mistral-7B-Instruct-v0.3','gemma-2b','Meta-Llama-3-8B-Instruct','Phi-3-mini-4k-instruct','zephyr-7b-beta']
st.session_state.llm = st.selectbox("Choose LLM",llms)
genre = st.radio(
"Choose option",
["Select document(s)", "Add document(s)","Delete service(s)", "Delete document(s)"])
if genre=="Add document(s)":
st.title('Add Document(s)')
# Check service status
# Get all available services
add_new_service = st.checkbox("Add new service")
if add_new_service:
new_service = st.text_input("Enter service name")
# Get list of Embedding models
res_request= requests.get(EMBEDDING_MODELS_API)
embidding_models =json.loads(res_request.text)
embdding_model = st.selectbox("Choose Embidding model",embidding_models["Model_Names_paid"])
if new_service and st.button('Add'):
add_service(st.session_state.token,new_service, embdding_model)
services = requests.get(SERVICES_API+st.session_state.token)
services =json.loads(services.text)
if len(services)>0:
st.session_state.service = st.selectbox("Choose Service",services)
# Get list of Indexing methods
# indexing_method_list = ['FLAT','HSNW']
# st.session_state.indexing_method = st.selectbox("Choose Indexing method",indexing_method_list)
# Send Document to API
if st.session_state.service:
st.session_state.uploaded_files = st.file_uploader("Upload PDF files", type=["pdf", "png", "jpg", "jpeg"], accept_multiple_files=True)
if st.session_state.uploaded_files:
st.session_state.process = st.button('Process')
if st.session_state.process:
add_document(st.session_state.token,st.session_state.service)
elif genre=="Select document(s)":
st.title('Chat with Document(s)')
services = requests.get(SERVICES_API+st.session_state.token)
services =json.loads(services.text)
if len(services)>0:
st.session_state.service_slected_to_chat = st.selectbox("Choose Service",services)
st.session_state.top_k = st.number_input("Top k ", min_value=1, value=5)
history_document = requests.get(DOCUMENT_API+f'/{st.session_state.token}/{st.session_state.service_slected_to_chat}')
history_document =json.loads(history_document.text).get("documents",[])
if len(history_document)>=2:
history_document.append("ALL")
# Get list of documents from histrory
if "ALL" in history_document:
st.session_state.doument_slected_to_chat = st.multiselect(
"",history_document ,default="ALL"
)
elif len(history_document)==1:
st.session_state.doument_slected_to_chat = st.multiselect(
"",history_document,default=history_document[0]
)
else:
st.session_state.doument_slected_to_chat = st.multiselect(
"",history_document
)
if "ALL" in st.session_state.doument_slected_to_chat:
st.session_state.doument_slected_to_chat = history_document
st.session_state.doument_slected_to_chat.remove("ALL")
st.write("You selected:", st.session_state.doument_slected_to_chat)
elif genre == "Delete service(s)":
st.title('Delete Service(s)')
services = requests.get(SERVICES_API+st.session_state.token)
services =json.loads(services.text)
if len(services)>=2:
services.append("ALL")
# Get list of documents from histrory
if "ALL" in services:
service_slected = st.multiselect(
"",services ,default="ALL"
)
elif len(services)==1:
service_slected = st.multiselect(
"",services,default=services[0]
)
else:
service_slected = st.multiselect(
"",services
)
if "ALL" in service_slected:
service_slected = services
service_slected.remove("ALL")
st.write("You selected:", service_slected)
if len(service_slected) > 0:
st.session_state.delete = st.button('Delete')
if st.session_state.delete:
delete_service(st.session_state.token ,service_slected)
elif genre == "Delete document(s)":
st.title('Delete Document(s)')
services = requests.get(SERVICES_API+st.session_state.token)
services =json.loads(services.text)
if len(services)>0:
service = st.selectbox("Choose Service",services)
history_document = requests.get(DOCUMENT_API+f'/{st.session_state.token}/{service}')
history_document =json.loads(history_document.text).get("documents",[])
if len(history_document)>=2:
history_document.append("ALL")
# Get list of documents from histrory
if "ALL" in history_document:
document_slected_to_delete = st.multiselect(
"",history_document ,default="ALL"
)
elif len(history_document)==1:
document_slected_to_delete = st.multiselect(
"",history_document,default=history_document[0]
)
else:
document_slected_to_delete = st.multiselect(
"",history_document
)
if "ALL" in document_slected_to_delete:
document_slected_to_delete = history_document
document_slected_to_delete.remove("ALL")
st.write("You selected:", document_slected_to_delete)
if len(document_slected_to_delete) > 0:
st.session_state.delete = st.button('Delete')
if st.session_state.delete:
delete_document(st.session_state.token,st.session_state.service ,document_slected_to_delete)
for msg in st.session_state.messages:
if msg["role"] == "user":
st.chat_message(msg["role"], avatar="π§βπ»").write(msg["content"])
else:
st.chat_message(msg["role"], avatar="π€").write(msg["content"])
if prompt := st.chat_input():
st.session_state.messages.append({"role": "user", "content": prompt})
st.chat_message("user", avatar="π§βπ»").write(prompt)
context = get_context(prompt,st.session_state.token,st.session_state.service_slected_to_chat,st.session_state.top_k)
template = " "
for i in range(0,len(context)):
template += f"Chunk{i}: "+context[i] + "\n"
print(template)
response=generate_response(st.session_state.llm, prompt, context = template)
#response = generate_response(st.session_state.llm,prompt, context)
st.session_state.messages.append({"role": "assistant", "content": response})
st.chat_message("assistant", avatar="π€").write(response)
|