Spaces:
Sleeping
Sleeping
Update with Sorting Final Questions
Browse files
app.py
CHANGED
@@ -12,6 +12,11 @@ import time
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import calendar
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import re
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connection_string = os.getenv("CONNECTION")
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blob_service_client = BlobServiceClient.from_connection_string(connection_string)
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@@ -31,7 +36,11 @@ def upload_blob(pdf_name, json_data, pdf_data_jobdescription,pdf_data_cvs, pre_g
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pdf_blob_client.upload_blob(pdf_data_jobdescription, overwrite=True)
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upload_job_db_item(pdf_name,len(pdf_data_cvs),json.loads(json_data),pre_generated_bool, custom_questions)
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links = []
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names = []
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for i,cv in enumerate(pdf_data_cvs):
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@@ -115,6 +124,28 @@ def upload_db_item(name, data, job_description_id, cv_id):
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except Exception as e:
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print(f"Allgemeiner Fehler: {str(e)}")
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st.markdown(
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"""
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<style>
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@@ -143,6 +174,9 @@ if "pdf_data_jobdescription_string" not in st.session_state:
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if "final_question_string" not in st.session_state:
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st.session_state["final_question_string"] = []
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with open("sys_prompt_frontend.txt") as f:
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sys_prompt = f.read()
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@@ -199,7 +233,7 @@ with st.container():
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try:
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st.write("The questions are generated. This may take a short moment...")
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res = openai.ChatCompletion.create(
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-
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temperature=0.2,
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messages=[
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{
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@@ -208,7 +242,7 @@ with st.container():
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},
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],
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)
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st.session_state["ai_questions"] = res.choices[0]["message"]["content"].split("\n")
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for i,q in enumerate(res.choices[0]["message"]["content"].split("\n")):
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st.session_state["disable_row_"+str(i)] = False
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st.rerun()
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@@ -234,6 +268,25 @@ with st.container():
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st.rerun()
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with cols[0]:
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st.text_area(label="Question "+str(i+1)+":",value=question,label_visibility="collapsed",key="text_area_"+str(i),disabled=st.session_state["disable_row_"+str(i)])
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else:
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with st.expander("Enter up to three predefined questions if needed. Otherwise leave it blank:"):
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question_one = st.text_input("Enter the first question:")
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@@ -283,8 +336,4 @@ with st.container():
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if not upload_success:
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st.error('An error has occurred. Please contact the administrator. Sorry for the inconvenience.', icon="🚨")
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# else:
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# col_submit_btn, col_empty, col_clear_btn = st.columns([1,4, 1])
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# if col_clear_btn.button("Clear" ,use_container_width=True):
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# streamlit_js_eval(js_expressions="parent.window.location.reload()")
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import calendar
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import re
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openai.api_key = os.getenv("OPENAI_API_KEY")
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openai.api_base = "https://tensora-oai.openai.azure.com/"
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openai.api_type = "azure"
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openai.api_version = "2023-05-15"
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connection_string = os.getenv("CONNECTION")
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blob_service_client = BlobServiceClient.from_connection_string(connection_string)
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pdf_blob_client.upload_blob(pdf_data_jobdescription, overwrite=True)
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upload_job_db_item(pdf_name,len(pdf_data_cvs),json.loads(json_data),pre_generated_bool, custom_questions)
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if pre_generated_bool:
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for i,question in enumerate(custom_questions):
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question_nr_for_id = i+1
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question_id = pdf_name + "-question-nr-" + str(question_nr_for_id)+str(calendar.timegm(time.gmtime()))
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upload_question_db_item(question_id, pdf_name, question,st.session_state["pdf_data_jobdescription_string"])
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links = []
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names = []
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for i,cv in enumerate(pdf_data_cvs):
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except Exception as e:
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print(f"Allgemeiner Fehler: {str(e)}")
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def upload_question_db_item(id, job_id, question, job_content):
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endpoint = "https://wg-candidate-data.documents.azure.com:443/"
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key = os.getenv("CONNECTION_DB")
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client = CosmosClient(endpoint, key)
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database = client.get_database_client("ToDoList")
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container = database.get_container_client("Questions")
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question_item = {
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"id": id,
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"partitionKey" : "wg-question-data-v1",
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"job_id": job_id,
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"question_content": question,
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"job_description": job_content,
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}
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try:
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# Fügen Sie das Element in den Container ein
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container.create_item(body=question_item)
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print("Eintrag erfolgreich in die Cosmos DB eingefügt. Container: Questions(Question Data)")
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except exceptions.CosmosHttpResponseError as e:
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print(f"Fehler beim Schreiben in die Cosmos DB: {str(e)}")
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except Exception as e:
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print(f"Allgemeiner Fehler: {str(e)}")
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st.markdown(
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"""
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<style>
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if "final_question_string" not in st.session_state:
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st.session_state["final_question_string"] = []
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def adjust_numbering(lst):
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return [f"{i + 1}. {item.split('. ', 1)[1]}" for i, item in enumerate(lst)]
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with open("sys_prompt_frontend.txt") as f:
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sys_prompt = f.read()
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try:
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st.write("The questions are generated. This may take a short moment...")
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res = openai.ChatCompletion.create(
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engine="gpt-4",
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temperature=0.2,
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messages=[
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{
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},
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],
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st.session_state["ai_questions"] = [item for item in res.choices[0]["message"]["content"].split("\n") if len(item) > 0]
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for i,q in enumerate(res.choices[0]["message"]["content"].split("\n")):
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st.session_state["disable_row_"+str(i)] = False
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st.rerun()
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st.rerun()
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with cols[0]:
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st.text_area(label="Question "+str(i+1)+":",value=question,label_visibility="collapsed",key="text_area_"+str(i),disabled=st.session_state["disable_row_"+str(i)])
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for i,final_q in enumerate(st.session_state["final_question_string"]):
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cols_final = st.columns([5,1])
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with cols_final[1]:
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if st.button("Up",use_container_width=True,key="btn_up_row_"+str(i),disabled=True if i == 0 else False):
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if i > 0:
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# Tausche das aktuelle Element mit dem vorherigen Element
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st.session_state.final_question_string[i], st.session_state.final_question_string[i - 1] = \
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st.session_state.final_question_string[i - 1], st.session_state.final_question_string[i]
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st.session_state.final_question_string = adjust_numbering(st.session_state.final_question_string)
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st.rerun()
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if st.button("Down",use_container_width=True,key="btn_down_row_"+str(i), disabled=True if i == len(st.session_state["final_question_string"])-1 else False):
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if i < len(st.session_state.final_question_string) - 1:
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# Tausche das aktuelle Element mit dem nächsten Element
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st.session_state.final_question_string[i], st.session_state.final_question_string[i + 1] = \
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st.session_state.final_question_string[i + 1], st.session_state.final_question_string[i]
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st.session_state.final_question_string = adjust_numbering(st.session_state.final_question_string)
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st.rerun()
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with cols_final[0]:
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st.write(final_q)
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else:
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with st.expander("Enter up to three predefined questions if needed. Otherwise leave it blank:"):
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question_one = st.text_input("Enter the first question:")
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if not upload_success:
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st.error('An error has occurred. Please contact the administrator. Sorry for the inconvenience.', icon="🚨")
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