File size: 1,040 Bytes
de43789
 
2be5891
a1a96ab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
import streamlit as st


# gemini_api_key = os.getenv("GEMINI_API_KEY")


# def to_markdown(text):
#   text = text.replace('•', '  *')
#   return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True)

# to_markdown(response.text)

# import google.generativeai as genai

# genai.configure(api_key = gemini_api_key)

# # model = genai.GenerativeModel('gemini-pro')
# # response = model.generate_content("What is the meaning of life?")

# # Define a function that will be called when the user clicks the button
# def greet_user():
#     # Get the user's name from the text input
#     name = st.text_input("Enter your name:")

#     # Greet the user
#     st.write(f"Hello, {name}!")

# # Add a button to the app
# st.button("Greet me!", greet_user)



# st.title("Hello! Streamlit App")

# x = st.slider('Select a value')
# st.write(x, 'squared is', x * x)

# st.

import streamlit as st


st.title('AI Fitness Trainer: Squats Analysis')


recorded_file = 'output_sample.mp4'
sample_vid = st.empty()
sample_vid.video(recorded_file)