app.py

import streamlit as st
import os
from PIL import Image

import google.generativeai as genai
secret_key = os.getenv("SECRET_KEY")

genai.configure(api_key=secret_key)
model2=genai.GenerativeModel('gemini-pro')

st.title('Mental Health')
video_url1= 'https://youtu.be/NQcYZplTXnQ?si=egutHE1H9YwQNk_I'
st.header("Video Demo")
st.video(video_url1)

from transformers import pipeline
classifier = pipeline("text-classification")
input1 = st.text_input('Enter text here:', '')

if input1:
    outputs1 = classifier(input1)
    st.write('You entered:', input1)
    st.write('Emotion:', outputs1[0]['label'])
    st.write('Confidence in Emotion:', outputs1[0]['score'])
    
if 'chat' not in st.session_state:
    st.session_state.chat=model2.start_chat(history=[])
    
def role_to_streamlit(role):
    if role=='model':
        return 'assistant'
    else:
        return role
        
for message in st.session_state.chat.history:
    with st.chat_message(role_to_streamlit(message.role)):
        st.markdown(message.parts[0].text)

if prompt2 := st.chat_input('Write your problem'):
    st.chat_message('user').markdown(prompt2)
    response2=st.session_state.chat.send_message(prompt2)
    with st.chat_message('assistant'):
        st.markdown(response2.text)

def get_gemini_response(input,image):
    model = genai.GenerativeModel('gemini-pro-vision')
    if input!="":
       response = model.generate_content([input,image])
    else:
       response = model.generate_content(image)
    return response.text
    
# st.set_page_config(page_title="Image Summary")    
# st.header("Application")

# input3=st.text_input("Input Prompt: ",key="input")
input3='Tell me about the emotion shown in the image'

uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
image=""   
if uploaded_file is not None:
    image = Image.open(uploaded_file)
    st.image(image, caption="Uploaded Image.", use_column_width=True)
submit=st.button("Tell me about the emotion in image")
if submit:
    response=get_gemini_response(input3,image)
    st.subheader("The Response is")
    st.write(response)