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import streamlit as st
import requests
import os
from gliner import GLiNER
from streamlit_autorefresh import st_autorefresh
import time
import ast
tok = os.getenv("TOK")
#st_autorefresh(interval=10000, key="volter")
st.write(tok)
def Target_Identification(userinput):
model = GLiNER.from_pretrained("Ihor/gliner-biomed-bi-small-v1.0")
labels = ["Protein","Mutation"]
entities = model.predict_entities(userinput, labels, threshold=0.5)
for entity in entities:
if entity["label"] == "Protein":
return entity["text"]
appuser=st.user
def APP():
def sidebarview():
'''experimental sidebar'''
# Get projects with error handling and caching
@st.cache_data(ttl=20) # Cache for 5 minutes to reduce API calls
def scan_for_project_availability_cached(user_id):
try:
request_url = f"https://thexforce-combat-backend.hf.space/{user_id}/projects"
response = requests.get(
request_url,
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {tok}",
},
timeout=10 # Add timeout to prevent hanging
)
if response.status_code == 200:
response_json = response.json()
pros = response_json.get("projects", []) # Default to empty list if no projects key
project_list = []
if pros: # Check if pros is not None or empty
for pro in pros:
if isinstance(pro, dict):
project_name = pro.get("project")
if project_name: # Only add if project name exists
project_list.append(project_name)
else:
if pro: # Only add if pro is not None or empty
project_list.append(str(pro))
return project_list
else:
st.error(f"Failed to fetch projects. Status code: {response.status_code}")
return []
except requests.exceptions.RequestException as e:
st.error(f"Error fetching projects: {str(e)}")
return []
except Exception as e:
st.error(f"Unexpected error: {str(e)}")
return []
with st.sidebar:
projects = scan_for_project_availability_cached(appuser.get("email"))
projectname = None
if len(projects) > 0:
agree = st.checkbox("create a new project ?")
if agree:
#projectname = st.selectbox("Select Project", projects)
projectname = st.text_input("Enter project name:")
st.session_state.projectname=projectname
else:
projectname = st.selectbox("Select Project", projects)
st.session_state.projectname=projectname
else:
projectname = st.text_input("Enter project name:")
st.session_state.projectname = projectname
'''experimental sidebar'''
sidebarview()
tab_map = {
0: "BIO ENGINEERING LAB @newMATTER",
1:"BIO ENGINEERING LAB 2 @newMATTER"
}
tab_selection = st.pills(
"TABS",
options=tab_map.keys(),
format_func=lambda option: tab_map[option],
selection_mode="single",
)
def SHOWTABS():
if tab_selection == 0:
# Two-column split
#left_col, right_col = st.columns([0.3, 0.7],vertical_alignment="center",border=True)
# CSS to make right column sticky
st.markdown("""
<style>
[data-testid="column"]:nth-of-type(2) {
position: sticky;
top: 0;
align-self: flex-start;
height: 100vh;
overflow-y: auto;
background-color: #0E1117;
padding: 10px;
border-left: 1px solid rgba(255,255,255,0.1);
}
</style>
""", unsafe_allow_html=True)
'''
with left_col:
option_map = {
0: "@OriginAI Nanobody Engineering:",
}
selection = st.pills(
"BIOLOGICS",
options=option_map.keys(),
format_func=lambda option: option_map[option],
selection_mode="single",
)
if selection == 0:
st.markdown(
"<p style='color:white;background-color:orange;font-weight:bold'> Nanobody [CANCER targeted]</p>",
unsafe_allow_html=True,
)
with right_col:
'''
bio_input = st.chat_input(" Ready for Action ! ")
# FIXED: Removed caching and added force_refresh parameter
def fetch_ops(force_refresh=False):
# Clear cache if force_refresh is True
if force_refresh and 'ops_cache' in st.session_state:
del st.session_state.ops_cache
fetch_url=f"https://thexforce-combat-backend.hf.space/{appuser.get('email')}/{st.session_state.projectname}/individual/experiment"
response = requests.get(
fetch_url,
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {tok}",
},
)
return response.json()
if "messages" not in st.session_state:
st.session_state.messages = []
if len(st.session_state.messages) > 0:
for msg in st.session_state.messages:
with st.chat_message(msg["role"]):
st.markdown(msg["content"])
if bio_input:
st.session_state.messages.append({"role": "user", "content": bio_input})
with st.chat_message("user"):
st.markdown(bio_input)
if st.session_state.projectname in [None, ""]:
st.markdown(":orange-badge[⚠️ Set Projectname]")
else:
identified_target = Target_Identification(bio_input)
#st.warning(f"TARGET IDENTIFIED IS : {identified_target}")
payload = {
"uid": appuser.get("email"),
"pid": st.session_state.projectname,
"target": identified_target or None,
"high_level_bio_query": bio_input,
}
response = requests.post(
"https://thexforce-combat-backend.hf.space/application_layer_agent",
json=payload,
headers={
"Content-Type": "application/json",
"Authorization":f"Bearer {tok}",
},
)
plan_response = response.json()
with st.chat_message("assistant"):
st.markdown(plan_response)
# FIXED: Use animations while waiting for backend processing
with st.spinner("🧬 Processing biological data..."):
# Try multiple times with short delays between attempts
fetch_ops_response = None
max_attempts = 6
for attempt in range(max_attempts):
fetch_ops_response = fetch_ops(force_refresh=True)
# Check if we got data
if fetch_ops_response and fetch_ops_response.get("exp"):
break
# Short delay before next attempt (non-blocking)
if attempt < max_attempts - 1: # Don't sleep on last attempt
import time
time.sleep(0.5) # Much shorter sleep between retries
# Show completion animation
#if fetch_ops_response and fetch_ops_response.get("exp"):
#st.write("")
#else:
#st.info("⏳ Operations are still being processed...")
# FIXED: Better error handling with animations
if fetch_ops_response:
#st.write("Debug - Full response:", fetch_ops_response) # Debug line - remove in production
exp_data = fetch_ops_response.get("exp")
if exp_data is not None and len(exp_data) > 0:
try:
exp_list = ast.literal_eval(exp_data) if isinstance(exp_data, str) else exp_data
st.session_state.exp_list = exp_list
except Exception as e:
st.error(f"Failed to parse experimental data: {e}")
st.session_state.exp_list = []
#-----------------------------
#RENDER UI FOR PILLS
# -----------------------------
#This part must be OUTSIDE `st.chat_message`
if "exp_list" in st.session_state and st.session_state.exp_list:
tabs = st.tabs([item["operation"] for item in st.session_state.exp_list])
for i, tab in enumerate(tabs):
with tab:
st.write(st.session_state.exp_list[i]["output"])
else:
# Animated waiting message
st.info("🔄 No experimental data found yet. Operations may still be processing...")
with st.container():
st.markdown("""
<div style="text-align: center;">
<div class="spinner"></div>
</div>
<style>
.spinner {
border: 4px solid #f3f3f3;
border-top: 4px solid #ff6b35;
border-radius: 50%;
width: 30px;
height: 30px;
animation: spin 1s linear infinite;
margin: 10px auto;
}
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
</style>
""", unsafe_allow_html=True)
else:
st.error("❌ Failed to fetch operations data")
st.markdown("🔄 **Tip:** Try refreshing or submitting your query again.")
st.session_state.messages.append(
{"role": "assistant", "content": str(plan_response)}
)
elif tab_selection == 1:
st.markdown("coming soon")
if st.user.is_logged_in:
if st.button("🚪 Logout"):
st.logout()
st.rerun()
#st.markdown(f"## {st.user.email}")
SHOWTABS()
else:
st.info("Please log in to access the Bio Lab")
if st.button("Log in"):
st.login("auth0")
st.stop() |