updates

app.py

@@ -1,25 +1,37 @@
-import streamlit as st
-from transformers import pipeline
+import bpy
 
-# Initialize the summarizer pipeline
-summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+# Set up a basic scene with a camera and light
+def setup_scene():
+    # Clear existing objects
+    bpy.ops.object.select_all(action='SELECT')
+    bpy.ops.object.delete()
 
-def summarize_text(text):
-    summary = summarizer(text, max_length=150, min_length=50, do_sample=False)
-    return summary[0]['summary_text']
+    # Add a camera
+    bpy.ops.object.camera_add(location=(0, -5, 3))
+    camera = bpy.context.active_object
+    camera.rotation_euler = (1.109, 0, 0)
+    
+    # Set the camera as active
+    bpy.context.scene.camera = camera
 
-# Streamlit app layout
-st.title("Text Summarizer")
-st.write("This app uses Hugging Face's transformers to summarize any text you provide.")
+    # Add a light source
+    bpy.ops.object.light_add(type='POINT', location=(0, 0, 5))
 
-# User input
-input_text = st.text_area("Enter Text to Summarize", height=200)
+    # Add a cube to animate
+    bpy.ops.mesh.primitive_cube_add(location=(0, 0, 0))
+    cube = bpy.context.active_object
+    cube.name = 'Cube'
 
-if st.button("Summarize"):
-    if input_text:
-        with st.spinner("Summarizing..."):
-            summary = summarize_text(input_text)
-            st.subheader("Summary:")
-            st.write(summary)
-    else:
-        st.warning("Please enter some text to summarize.")
+    # Keyframe animation (for example, move the cube)
+    cube.location = (0, 0, 0)
+    cube.keyframe_insert(data_path="location", frame=1)
+    
+    cube.location = (5, 5, 0)
+    cube.keyframe_insert(data_path="location", frame=50)
+
+    # Set the frame range for the animation
+    bpy.context.scene.frame_start = 1
+    bpy.context.scene.frame_end = 50
+
+# Execute the setup function
+setup_scene()