import streamlit as st from PIL import Image import google.generativeai as genai from googletrans import Translator, LANGUAGES #def translate_to_persian(text): # Instantiate the Translator object translator = Translator() # Translate the text #translation = translator.translate(text, src='en', dest='fa') #return translation.text 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('Enter some text') 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) #to_markdown(response.text) # 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("Choose an image...", 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 "Hey you" if st.button('Hey Button'): st.write(res.text) # Text input #text_input = st.text_input('Enter some text') # Button to print the text from input if st.button('Print Text'): st.write(translator.translate(response.text, src='en', dest='fa').text)#translate_to_persian("Hello, how are you?"))#response.text)) # Run this with `streamlit run your_script.py`