import streamlit as st # import openai import replicate import os from dotenv import load_dotenv from streamlit_extras.stylable_container import stylable_container import streamlit_extras # load_dotenv() # REPLICATE_API_TOKEN = os.environ.get("REPLICATE_API_TOKEN") # replicate = replicate.Client(api_token=REPLICATE_API_TOKEN) streamlit_style = """ """ def page8(): with stylable_container( key="title", css_styles=[ """ span { text-align: center; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; }""" , """ st-emotion-cache-0{ text-align: center; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; }""", """ .e1f1d6gn0{ text-align: center; padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 0px; } """, ], ): st.markdown("

Text to video

", unsafe_allow_html=True) #This is under a css style st.markdown(streamlit_style, unsafe_allow_html=True) with st.form(key='form'): prompt = st.text_input(label='Enter text prompt for Video generation') placeholder=st.empty() col1,col2=placeholder.columns(2) video_length = col1.number_input("Enter video length (seconds)", step=1, min_value=1, max_value=8, value=4, placeholder="Type a number...") submit_button = st.form_submit_button(label='Generate Video') if submit_button: if prompt: placeholder=st.empty() col1,col2=placeholder.columns(2) with st.spinner("Generating Video from Text. Please wait...."): output = replicate.run( "cjwbw/text2video-zero:e671ffe4e976c0ec813f15a9836ebcfd08857ac2669af6917e3c2549307f9fae", input={ "fps": 4, "prompt": prompt, "model_name": "dreamlike-art/dreamlike-photoreal-2.0", "timestep_t0": 44, "timestep_t1": 47, "video_length": video_length, "negative_prompt": "", "motion_field_strength_x": 12, "motion_field_strength_y": 12 } ) col1.text("Generated Video") col1.video(output) st.markdown( """ """, unsafe_allow_html=True, )