Spaces:
Sleeping
Sleeping
Linh Vuu
commited on
Commit
•
06852bc
1
Parent(s):
1ced196
added files
Browse files- .gitignore +1 -0
- app.py +83 -0
- requirements.txt +1 -0
.gitignore
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
.streamlit
|
app.py
ADDED
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import openai
|
2 |
+
import time
|
3 |
+
import logging
|
4 |
+
import streamlit as st
|
5 |
+
from datetime import datetime
|
6 |
+
|
7 |
+
openai_api_key = st.secrets["openai_api_key"]
|
8 |
+
client = openai.OpenAI(api_key = openai_api_key)
|
9 |
+
model = "gpt-3.5-turbo-16k"
|
10 |
+
|
11 |
+
# # == Create our Assistant
|
12 |
+
personal_trainer_assis = client.beta.assistants.create(
|
13 |
+
name="Personal Trainer",
|
14 |
+
instructions="""You are the best personal trainer and nutritionist who knows how to get clients to build lean muscles.\n
|
15 |
+
You've trained high-caliber athletes and movie stars. """,
|
16 |
+
model=model,
|
17 |
+
)
|
18 |
+
asistant_id = personal_trainer_assis.id
|
19 |
+
|
20 |
+
# === Thread an empty thread
|
21 |
+
thread = client.beta.threads.create()
|
22 |
+
thread_id = thread.id
|
23 |
+
|
24 |
+
def wait_for_run_completion(client, thread_id, run_id, sleep_interval=5):
|
25 |
+
"""
|
26 |
+
|
27 |
+
Waits for a run to complete and prints the elapsed time.:param client: The OpenAI client object.
|
28 |
+
:param thread_id: The ID of the thread.
|
29 |
+
:param run_id: The ID of the run.
|
30 |
+
:param sleep_interval: Time in seconds to wait between checks.
|
31 |
+
"""
|
32 |
+
while True:
|
33 |
+
try:
|
34 |
+
run = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run_id)
|
35 |
+
if run.completed_at:
|
36 |
+
elapsed_time = run.completed_at - run.created_at
|
37 |
+
formatted_elapsed_time = time.strftime(
|
38 |
+
"%H:%M:%S", time.gmtime(elapsed_time)
|
39 |
+
)
|
40 |
+
print(f"Run completed in {formatted_elapsed_time}")
|
41 |
+
logging.info(f"Run completed in {formatted_elapsed_time}")
|
42 |
+
# Get messages here once Run is completed!
|
43 |
+
messages = client.beta.threads.messages.list(thread_id=thread_id)
|
44 |
+
last_message = messages.data[0]
|
45 |
+
response = last_message.content[0].text.value
|
46 |
+
st.write(response)
|
47 |
+
break
|
48 |
+
except Exception as e:
|
49 |
+
logging.error(f"An error occurred while retrieving the run: {e}")
|
50 |
+
break
|
51 |
+
logging.info("Waiting for run to complete...")
|
52 |
+
time.sleep(sleep_interval)
|
53 |
+
|
54 |
+
def main():
|
55 |
+
# Streamlit interface
|
56 |
+
st.title("Personal trainer")
|
57 |
+
|
58 |
+
with st.form(key="user_input_form"):
|
59 |
+
question = st.text_input("Enter question:")
|
60 |
+
submit_button = st.form_submit_button(label="Response to my question above")
|
61 |
+
|
62 |
+
if submit_button:
|
63 |
+
# ==== Create a Message ====
|
64 |
+
message = question
|
65 |
+
message = client.beta.threads.messages.create(
|
66 |
+
thread_id=thread_id, role="user", content = message
|
67 |
+
)
|
68 |
+
|
69 |
+
# === Run our Assistant ===
|
70 |
+
run = client.beta.threads.runs.create(
|
71 |
+
thread_id=thread_id,
|
72 |
+
assistant_id=asistant_id
|
73 |
+
)
|
74 |
+
|
75 |
+
# === Run ===
|
76 |
+
wait_for_run_completion(client=client, thread_id=thread_id, run_id=run.id)
|
77 |
+
|
78 |
+
if __name__ == "__main__":
|
79 |
+
main()
|
80 |
+
|
81 |
+
# ==== Steps --- Logs ==
|
82 |
+
# run_steps = client.beta.threads.runs.steps.list(thread_id=thread_id, run_id=run.id)
|
83 |
+
# print(f"Steps---> {run_steps.data[0]}")
|
requirements.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
openai
|