Update app.py

app.py

@@ -1,29 +1,37 @@
 import streamlit as st
-from transformers import GPT2LMHeadModel, GPT2Tokenizer
+from text_generation import generate_text
+from image_generation import generate_image_from_text
+from video_generation import generate_simple_video
+from PIL import Image
 
-# Load pre-trained model and tokenizer
-model_name = "gpt2"
-tokenizer = GPT2Tokenizer.from_pretrained(model_name)
-model = GPT2LMHeadModel.from_pretrained(model_name)
+# Main Streamlit app
+st.title("Multifunction AI App")
 
-def generate_text(prompt, max_length=50):
-    # Encode the input prompt
-    inputs = tokenizer.encode(prompt, return_tensors="pt")
-    
-    # Generate text
-    outputs = model.generate(inputs, max_length=max_length, num_return_sequences=1)
-    
-    # Decode the generated text
-    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    return text
+# Ability Selection
+option = st.sidebar.selectbox("Select Functionality", ("Text Generation", "Image Generation", "Video Generation"))
+
+# Text Generation
+if option == "Text Generation":
+    prompt = st.text_area("Input", "Type a prompt for text generation...")
+    max_length = st.slider("Max Length", min_value=10, max_value=100, value=50)
 
-# Streamlit app
-st.title("GPT-2 Text Generator")
+    if st.button("Generate Text"):
+        generated_text = generate_text(prompt, max_length)
+        st.subheader("Generated Text")
+        st.write(generated_text)
+
+# Image Generation
+elif option == "Image Generation":
+    prompt = st.text_area("Input", "Type a prompt for image generation...")
+    
+    if st.button("Generate Image"):
+        image = generate_image_from_text(prompt)
+        st.image(image, caption="Generated Image", use_column_width=True)
 
-prompt = st.text_area("Input", "Once upon a time...")
-max_length = st.slider("Max Length", min_value=10, max_value=100, value=50)
+# Video Generation
+elif option == "Video Generation":
+    prompt = st.text_area("Input", "Type a prompt for video generation...")
 
-if st.button("Generate"):
-    generated_text = generate_text(prompt, max_length)
-    st.subheader("Generated Text")
-    st.write(generated_text)
+    if st.button("Generate Video"):
+        video_path = generate_simple_video(prompt)
+        st.video(video_path)