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import streamlit as st
from st_audiorec import st_audiorec
from Modules.Speech2Text.transcribe import transcribe
import base64
from langchain_mistralai import ChatMistralAI
from dotenv import load_dotenv
load_dotenv() # load .env api keys
import os
from Modules.rag import rag_chain
mistral_api_key = os.getenv("MISTRAL_API_KEY")
def format_messages(messages):
formatted_messages = ""
for message in messages:
role = message["role"]
content = message["content"]
formatted_messages += f"{role}: {content}\n"
return formatted_messages
st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
# Create two columns
col1, col2 = st.columns(2)
video_uploaded = None
llm = ChatMistralAI(model="mistral-large-latest", mistral_api_key=mistral_api_key, temperature=0)
# First column containers
with col1:
st.subheader("Audio Recorder")
recorded = False
temp_path = 'data/temp_audio/audio_file.wav'
wav_audio_data = st_audiorec()
if wav_audio_data is not None:
with open(temp_path, 'wb') as f:
# Write the audio data to the file
f.write(wav_audio_data)
instruction = transcribe(temp_path)
print(instruction)
recorded = True
st.subheader("LLM answering")
if recorded:
if "messages" not in st.session_state:
st.session_state.messages = []
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
st.session_state.messages.append({"role": "user", "content": instruction})
with st.chat_message("user"):
st.markdown(instruction)
with st.chat_message("assistant"):
# Build answer from LLM
response = rag_chain.invoke(
instruction
)
print(type(response))
st.session_state.messages.append({"role": "assistant", "content": response})
st.markdown(response)
st.subheader("Movement Analysis")
# TO DO
# Second column containers
with col2:
st.subheader("Sports Agenda")
# TO DO
st.subheader("Video Analysis")
ask_video = st.empty()
if video_uploaded is None:
video_uploaded = ask_video.file_uploader("Choose a video file", type=["mp4", "ogg", "webm"])
if video_uploaded:
ask_video.empty()
with st.spin("Processing video"):
pass # TO DO
_left, mid, _right = st.columns(3)
with mid:
st.video(video_uploaded)
st.subheader("Graph Displayer")
# TO DO |