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Update ui.py
Browse files
ui.py
CHANGED
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@@ -1,280 +1,177 @@
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import streamlit as st
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import requests
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import os
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from gliner import GLiNER
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#from auth import authenticator
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from streamlit_autorefresh import st_autorefresh
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tok=os.getenv("TOK")
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"----------------------------------------------"
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st_autorefresh(interval=5000,key="volter")
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"----------------------------------------------"
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def Target_Identification(userinput):
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model = GLiNER.from_pretrained("Ihor/gliner-biomed-bi-small-v1.0")
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labels = ["Protein"]
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entities = model.predict_entities(userinput, labels, threshold=0.5)
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result={}
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for entity in entities:
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if entity["label"] =="Protein":
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return entity["text"]
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def APP():
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}
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"TABS",
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options=tab_map.keys(),
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format_func=lambda option:tab_map[option],
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selection_mode="single"
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)
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def SHOWTABS():
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if tab_selection == 0 :
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option_map = {
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0: "@OriginAI Nanobody Engineering:",
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#2: "Information"
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}
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selection = st.pills(
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"BIOLOGICS",
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options=option_map.keys(),
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format_func=lambda option: option_map[option],
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selection_mode="single",
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if selection == 0:
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if len(projects) > 0 :
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option = st.selectbox(
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"selectproject",
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projects
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)
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projectname = option
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#if projectname == "":
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# with st.expander("Set up the project before proceeding."):
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# projectname = st.text_input("Provide project name > ")
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elif len(projects) == 0:
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p_name=st.text_input("enter project name : ")
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projectname=p_name
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#bio_input = st.text_area(
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# "Protein Engineering Query",
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# placeholder="Type your query here."
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#)
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#execute_button=st.form_submit_button("execute")
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bio_input = st.chat_input(" Ready for Action ! ")
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"""----------------experimental--------------------"""
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@st.cache_data(ttl=10)
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def fetch_ops():
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response=requests.get(f"https://thexforce-combat-backend.hf.space/user/operations/{st.user.email}",
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headers={
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"Content-Type":"application/json",
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"Authorization":f"Bearer {tok}"
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})
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useroperations_json=response.json()
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return useroperations_json
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"""---------------experimental-----------------------"""
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with st.container():
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if len(st.session_state.messages) > 0:
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for msg in st.session_state.messages:
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with st.chat_message(msg["role"]):
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st.markdown(msg["content"])
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if bio_input:
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st.session_state.messages.append({"role":"user","content":bio_input})
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with st.chat_message("user"):
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st.markdown(bio_input)
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if projectname == None or projectname == "":
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st.markdown(":orange-badge[⚠️Set Projectname]")
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else:
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identified_target=Target_Identification(bio_input)
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st.warning(f"TARGET IDENTIFIED IS :{identified_target}")
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payload={
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"uid":st.user.email ,
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"pid":projectname,
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"target":identified_target or None,
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"high_level_bio_query":bio_input
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}
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response=requests.post("https://thexforce-combat-backend.hf.space/application_layer_agent",json=payload,headers={
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"Content-Type":"application/json",
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"Authorization":f"Bearer {tok}"
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})
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plan_response=response.json()
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#st.markdown(f"## {plan_response}")
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with st.chat_message("assistant"):
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st.markdown(plan_response)
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"---------------------experimental--------------------------------"
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fetch_ops_response=fetch_ops()
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if fetch_ops_response.get("exp") != None:
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for op in fetch_ops_response.get("exp"):
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with st.chat_message("assistant"):
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st.markdown(op.get("operation"))
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st.markdown(op.get("output"))
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"------------------------------------------------------------------"
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st.session_state.messages.append({"role":"assistant","content":plan_response})
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#if selection == 1:
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#st.markdown("<p style='color:white;background-color:orange;font-weight:bold'>Vaccine [Supported] </p>",unsafe_allow_html=True)
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#with st.expander("info"):
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#st.info("",icon=":material/info:")
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#st.code("coming soon")
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#if selection ==2:
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#st.markdown("<p style='color:white;background-color:orange;font-weight:bold'>Operation Details </p>",unsafe_allow_html=True)
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#if tab_selection == 1:
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#st.markdown("### ORIGINAI Bio Lab Operations")
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#@st.cache_data(ttl=10)
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#def fetch_ops():
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#response=requests.get(f"https://thexforce-combat-backend.hf.space/user/operations/{st.user.email}",headers={
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# "Content-Type":"application/json",
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# "Authorization":f"Bearer {tok}"
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#})
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#useroperations_json=response.json()
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#return useroperations_json
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#userops=fetch_ops()
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## st.json(userops)
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'''
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response=requests.get(
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f"https://thexforce-combat-backend.hf.space/{st.session_state.get('username')}/{projectname}/individual/experiment",
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headers={
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st.
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import streamlit as st
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import requests
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import os
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from gliner import GLiNER
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from streamlit_autorefresh import st_autorefresh
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tok = os.getenv("TOK")
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st_autorefresh(interval=5000, key="volter")
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def Target_Identification(userinput):
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model = GLiNER.from_pretrained("Ihor/gliner-biomed-bi-small-v1.0")
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labels = ["Protein"]
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entities = model.predict_entities(userinput, labels, threshold=0.5)
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for entity in entities:
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if entity["label"] == "Protein":
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return entity["text"]
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def APP():
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tab_map = {
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0: "BIO ENGINEERING LAB @newMATTER",
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}
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tab_selection = st.pills(
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"TABS",
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options=tab_map.keys(),
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format_func=lambda option: tab_map[option],
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selection_mode="single",
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)
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def SHOWTABS():
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if tab_selection == 0:
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# Two-column split
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left_col, right_col = st.columns([0.4, 0.6])
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# CSS to make right column sticky
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st.markdown("""
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<style>
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[data-testid="column"]:nth-of-type(2) {
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position: sticky;
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top: 0;
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align-self: flex-start;
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height: 100vh;
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overflow-y: auto;
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background-color: #0E1117;
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padding: 10px;
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border-left: 1px solid rgba(255,255,255,0.1);
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}
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</style>
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""", unsafe_allow_html=True)
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with left_col:
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option_map = {
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0: "@OriginAI Nanobody Engineering:",
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}
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selection = st.pills(
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"BIOLOGICS",
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options=option_map.keys(),
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format_func=lambda option: option_map[option],
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selection_mode="single",
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)
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if selection == 0:
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st.markdown(
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"<p style='color:white;background-color:orange;font-weight:bold'> Nanobody [CANCER targeted]</p>",
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unsafe_allow_html=True,
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)
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projects = []
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projectname = None
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def scan_for_project_availability(user_id):
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request_url = f"https://thexforce-combat-backend.hf.space/{user_id}/projects"
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response = requests.get(
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request_url,
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headers={
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"Content-Type": "application/json",
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"Authorization": f"Bearer {tok}",
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},
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response_json = response.json()
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pros = response_json.get("projects")
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for pro in pros:
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projects.append(pro.get("project"))
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scan_for_project_availability(st.user.email)
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if len(projects) > 0:
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projectname = st.selectbox("Select Project", projects)
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else:
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projectname = st.text_input("Enter project name:")
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st.session_state.projectname = projectname
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with right_col:
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bio_input = st.chat_input(" Ready for Action ! ")
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@st.cache_data(ttl=10)
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def fetch_ops():
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response = requests.get(
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f"https://thexforce-combat-backend.hf.space/user/operations/{st.user.email}",
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| 105 |
headers={
|
| 106 |
+
"Content-Type": "application/json",
|
| 107 |
+
"Authorization": f"Bearer {tok}",
|
| 108 |
+
},
|
| 109 |
+
)
|
| 110 |
+
return response.json()
|
| 111 |
+
|
| 112 |
+
if "messages" not in st.session_state:
|
| 113 |
+
st.session_state.messages = []
|
| 114 |
+
|
| 115 |
+
if len(st.session_state.messages) > 0:
|
| 116 |
+
for msg in st.session_state.messages:
|
| 117 |
+
with st.chat_message(msg["role"]):
|
| 118 |
+
st.markdown(msg["content"])
|
| 119 |
+
|
| 120 |
+
if bio_input:
|
| 121 |
+
st.session_state.messages.append({"role": "user", "content": bio_input})
|
| 122 |
+
with st.chat_message("user"):
|
| 123 |
+
st.markdown(bio_input)
|
| 124 |
+
|
| 125 |
+
if st.session_state.projectname in [None, ""]:
|
| 126 |
+
st.markdown(":orange-badge[⚠️ Set Projectname]")
|
| 127 |
+
else:
|
| 128 |
+
identified_target = Target_Identification(bio_input)
|
| 129 |
+
st.warning(f"TARGET IDENTIFIED IS : {identified_target}")
|
| 130 |
+
|
| 131 |
+
payload = {
|
| 132 |
+
"uid": st.user.email,
|
| 133 |
+
"pid": st.session_state.projectname,
|
| 134 |
+
"target": identified_target or None,
|
| 135 |
+
"high_level_bio_query": bio_input,
|
| 136 |
+
}
|
| 137 |
+
|
| 138 |
+
response = requests.post(
|
| 139 |
+
"https://thexforce-combat-backend.hf.space/application_layer_agent",
|
| 140 |
+
json=payload,
|
| 141 |
+
headers={
|
| 142 |
+
"Content-Type": "application/json",
|
| 143 |
+
"Authorization":f"Bearer {tok}",
|
| 144 |
+
},
|
| 145 |
+
)
|
| 146 |
+
|
| 147 |
+
plan_response = response.json()
|
| 148 |
+
|
| 149 |
+
with st.chat_message("assistant"):
|
| 150 |
+
st.markdown(plan_response)
|
| 151 |
+
|
| 152 |
+
fetch_ops_response = fetch_ops()
|
| 153 |
+
if fetch_ops_response.get("exp") is not None:
|
| 154 |
+
for op in fetch_ops_response.get("exp"):
|
| 155 |
+
with st.chat_message("assistant"):
|
| 156 |
+
st.markdown(op.get("operation"))
|
| 157 |
+
st.markdown(op.get("output"))
|
| 158 |
+
|
| 159 |
+
st.session_state.messages.append(
|
| 160 |
+
{"role": "assistant", "content": str(plan_response)}
|
| 161 |
+
)
|
| 162 |
+
|
| 163 |
+
if st.user.is_logged_in:
|
| 164 |
+
if st.button("🚪 Logout"):
|
| 165 |
+
st.logout()
|
| 166 |
+
st.rerun()
|
| 167 |
+
|
| 168 |
+
st.markdown(f"## {st.user.email}")
|
| 169 |
+
SHOWTABS()
|
| 170 |
+
else:
|
| 171 |
+
st.info("Please log in to access the Bio Lab")
|
| 172 |
+
if st.button("Log in"):
|
| 173 |
+
st.login("auth0")
|
| 174 |
+
st.stop()
|
| 175 |
+
|
| 176 |
+
|
| 177 |
+
|