Update app.py

app.py

@@ -1,4 +1,8 @@
-import gradio as gr
+# Install necessary packages
+!pip install streamlit transformers diffusers gtts moviepy safetensors torch gradio
+
+# Import libraries
+import streamlit as st
 import torch
 from transformers import pipeline
 from diffusers import AnimateDiffPipeline, MotionAdapter, EulerDiscreteScheduler
@@ -6,7 +10,7 @@ from diffusers.utils import export_to_gif
 from huggingface_hub import hf_hub_download
 from safetensors.torch import load_file
 from gtts import gTTS
-from moviepy.editor import VideoFileClip, AudioFileClip, concatenate_videoclips
+from moviepy.editor import VideoFileClip, AudioFileClip
 import os
 
 # Load the text generation model
@@ -53,17 +57,19 @@ def generate_educational_video(prompt):
     video_file = create_video(animation_file, audio_file)
     return video_file
 
-# Define Gradio Interface
-def gradio_interface(prompt):
-    video_path = generate_educational_video(prompt)
-    return video_path
+# Streamlit UI
+st.title("Educational Video Generator")
+
+prompt = st.text_input("Enter your prompt here:")
+
+if st.button("Generate Video"):
+    if prompt:
+        st.write("Generating video, please wait...")
 
-interface = gr.Interface(
-    fn=gradio_interface,
-    inputs="text",
-    outputs="video",
-    title="Educational Video Generator",
-    description="Enter a prompt to generate a video."
-)
+        # Generate the video
+        video_path = generate_educational_video(prompt)
 
-interface.launch()
+        # Display the video in Streamlit
+        st.video(video_path)
+    else:
+        st.warning("Please enter a prompt.")