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import streamlit as st
from PIL import Image
import google.generativeai as genai
from deep_translator import GoogleTranslator
genai.configure(api_key="AIzaSyBd36RWeqDpLur3E7TTlX3wnyIh_rdhsU8")
# Set up the model
generation_config = {
"temperature": 0.9,
"top_p": 1,
"top_k": 1,
"max_output_tokens": 2048,
}
safety_settings = [
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "BLOCK_MEDIUM_AND_ABOVE"
},
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "BLOCK_MEDIUM_AND_ABOVE"
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "BLOCK_MEDIUM_AND_ABOVE"
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "BLOCK_MEDIUM_AND_ABOVE"
},
]
text_input = st.text_input('سوالتان را در مورد علایم، داروها، عوارض و یا آزمایشات دیابت بپرسید', placeholder='من بیمار مبتلا به دیابت و سکته قلبی هستم و از متفورمین و پیوگلیتازون مصرف میکنم، این داروهارو چجوری مصرف کنم و آیا عوارضی خواهند داشت با توجه به بسکته قلبی که داشته‌ام؟')
model = genai.GenerativeModel(model_name="gemini-pro",
generation_config=generation_config,
safety_settings=safety_settings)
prompt_parts = [text_input]
response = model.generate_content(prompt_parts)
l=[]
l.append(response)
#to_markdown(response.text)
if st.button('Button'):
st.write(l[0])
# Set up the title of the app
#st.title('Simple Streamlit App')
# File uploader to allow users to upload images
uploaded_file = st.file_uploader("عکس زخمتان را بفرستید", type=["jpg", "jpeg", "png"])
mod = genai.GenerativeModel('gemini-pro-vision')
#res.resolve()
# Display the uploaded image
if uploaded_file is not None:
image = Image.open(uploaded_file)
res = mod.generate_content([text_input, image], stream=True)
res.resolve()
#st.image(image, caption='Uploaded Image', use_column_width=True)
# Button to print the response
if st.button('Hey Button'):
response_parts = res.candidates[0].content.parts
response_text = ""
for part in response_parts:
response_text += part.text
st.write(response_text)
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