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personalityapp.py
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69 lines (53 loc) · 2.35 KB
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### Personality Recognition App
import streamlit as st
import os
import google.generativeai as genai
from PIL import Image
genai.configure(api_key=st.secrets['API_KEY'])
## Function to load Google Gemini Pro Vision API And get response
def get_gemini_repsonse(input,image,prompt):
model=genai.GenerativeModel('gemini-pro-vision')
response=model.generate_content([input,image[0],prompt])
return response.text
def input_image_setup(uploaded_file):
# Check if a file has been uploaded
if uploaded_file is not None:
# Read the file into bytes
bytes_data = uploaded_file.getvalue()
image_parts = [
{
"mime_type": uploaded_file.type, # Get the mime type of the uploaded file
"data": bytes_data
}
]
return image_parts
else:
raise FileNotFoundError("No file uploaded")
##initialize our streamlit app
st.set_page_config(page_title="Personality Recognition App")
st.header("Personality Recognition App")
input=st.text_input("Input Prompt: ",key="input")
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 this personality")
input_prompt="""
You are an expert in recognising people, where you need to see that person recognise him/her and tell everything about him/her like there full name about there birth place & date also with death date & place
in addition to there achievements, about there educational details in the below format.
1. Name - name of that personality with short description about him
2. Place of Birth - place of birth with birth date
3. Death - place and date of death
4. Education - write about there educational background
5. Family - write little information about there family
6. Achievements - write about there achievements like prices, inventions, discoveries they did
----
----
"""
## If submit button is clicked
if submit:
image_data=input_image_setup(uploaded_file)
response=get_gemini_repsonse(input_prompt,image_data,input)
st.subheader("The Response is")
st.write(response)