Update app.py

app.py

@@ -1,67 +1,96 @@
 import streamlit as st
-from diffusers import StableDiffusionPipeline
-import torch
-from PIL import Image
-from gtts import gTTS
-import requests
-import base64
-
-# Load Stable Diffusion model for text-to-image
-text_to_image_model = "runwayml/stable-diffusion-v1-5"
-text_to_image_pipe = StableDiffusionPipeline.from_pretrained(text_to_image_model, torch_dtype=torch.float16)
-text_to_image_pipe = text_to_image_pipe.to("cuda")
+from moviepy.editor import VideoFileClip, concatenate_videoclips, TextClip, CompositeVideoClip
+from moviepy.video.fx.all import crop, resize, mirror_x
+import os
 
 # Streamlit app
-st.title("🤖 Advanced Multi-Task AI Bot")
-st.write("Text-to-Image, Text-to-Voice, Text-to-Video, and Image-to-Video Tool")
+st.title("🎥 Professional Video Editing Tool")
+st.write("Make your videos copyright-free and edit them like a pro!")
+
+# Upload video
+uploaded_file = st.file_uploader("Upload a video:", type=["mp4", "avi", "mov"])
+
+if uploaded_file is not None:
+    # Save uploaded file
+    with open("input_video.mp4", "wb") as f:
+        f.write(uploaded_file.getbuffer())
+    
+    # Load video
+    video = VideoFileClip("input_video.mp4")
+
+    # Sidebar for editing options
+    st.sidebar.header("Editing Options")
+    task = st.sidebar.selectbox("Select a task:", [
+        "Trim Video", "Crop Video", "Add Text", "Add Music", "Remove Watermark", "Export Video"
+    ])
+
+    if task == "Trim Video":
+        st.header("Trim Video")
+        start_time = st.number_input("Start Time (seconds):", min_value=0, max_value=int(video.duration))
+        end_time = st.number_input("End Time (seconds):", min_value=0, max_value=int(video.duration))
+        if st.button("Trim"):
+            trimmed_video = video.subclip(start_time, end_time)
+            trimmed_video.write_videofile("trimmed_video.mp4")
+            st.video("trimmed_video.mp4")
+
+    elif task == "Crop Video":
+        st.header("Crop Video")
+        x1 = st.number_input("X1:", min_value=0, max_value=video.size[0])
+        y1 = st.number_input("Y1:", min_value=0, max_value=video.size[1])
+        x2 = st.number_input("X2:", min_value=0, max_value=video.size[0])
+        y2 = st.number_input("Y2:", min_value=0, max_value=video.size[1])
+        if st.button("Crop"):
+            cropped_video = crop(video, x1=x1, y1=y1, x2=x2, y2=y2)
+            cropped_video.write_videofile("cropped_video.mp4")
+            st.video("cropped_video.mp4")
 
-# Sidebar for task selection
-task = st.sidebar.selectbox("Select a task:", ["Text-to-Image", "Text-to-Voice", "Text-to-Video", "Image-to-Video"])
+    elif task == "Add Text":
+        st.header("Add Text")
+        text = st.text_input("Enter text:")
+        fontsize = st.number_input("Font Size:", min_value=10, max_value=100, value=50)
+        color = st.color_picker("Text Color:", "#FFFFFF")
+        position_x = st.number_input("Position X:", min_value=0, max_value=video.size[0])
+        position_y = st.number_input("Position Y:", min_value=0, max_value=video.size[1])
+        if st.button("Add Text"):
+            text_clip = TextClip(text, fontsize=fontsize, color=color)
+            text_clip = text_clip.set_position((position_x, position_y)).set_duration(video.duration)
+            final_video = CompositeVideoClip([video, text_clip])
+            final_video.write_videofile("text_video.mp4")
+            st.video("text_video.mp4")
 
-if task == "Text-to-Image":
-    st.header("Text-to-Image")
-    user_input = st.text_input("Enter your text prompt:")
-    if user_input:
-        with st.spinner("Generating image..."):
-            image = text_to_image_pipe(user_input).images[0]
-        st.image(image, caption="Generated Image", use_column_width=True)
+    elif task == "Add Music":
+        st.header("Add Music")
+        music_file = st.file_uploader("Upload a music file:", type=["mp3", "wav"])
+        if music_file and st.button("Add Music"):
+            with open("background_music.mp3", "wb") as f:
+                f.write(music_file.getbuffer())
+            audio_clip = AudioFileClip("background_music.mp3")
+            final_video = video.set_audio(audio_clip)
+            final_video.write_videofile("music_video.mp4")
+            st.video("music_video.mp4")
 
-elif task == "Text-to-Voice":
-    st.header("Text-to-Voice")
-    user_input = st.text_input("Enter your text:")
-    if user_input:
-        with st.spinner("Generating voice..."):
-            tts = gTTS(text=user_input, lang='en')
-            tts.save("output.mp3")
-            audio_file = open("output.mp3", "rb")
-            audio_bytes = audio_file.read()
-            st.audio(audio_bytes, format="audio/mp3")
+    elif task == "Remove Watermark":
+        st.header("Remove Watermark")
+        st.write("This feature is under development. Please check back later!")
+        # Add watermark removal code here
 
-elif task == "Text-to-Video":
-    st.header("Text-to-Video")
-    user_input = st.text_input("Enter your text prompt:")
-    if user_input:
-        with st.spinner("Generating video..."):
-            # Use ModelScope or RunwayML API for text-to-video
-            video_url = "https://api.modelscope.cn/video/generate"  # Example API endpoint
-            response = requests.post(video_url, json={"text": user_input})
-            if response.status_code == 200:
-                video_data = response.content
-                st.video(video_data)
-            else:
-                st.error("Failed to generate video. Please try again.")
+    elif task == "Export Video":
+        st.header("Export Video")
+        st.write("Your video is ready to download!")
+        st.video("input_video.mp4")
+        with open("input_video.mp4", "rb") as f:
+            st.download_button("Download Video", f, file_name="edited_video.mp4")
 
-elif task == "Image-to-Video":
-    st.header("Image-to-Video")
-    uploaded_file = st.file_uploader("Upload an image:", type=["jpg", "png", "jpeg"])
-    if uploaded_file:
-        with st.spinner("Generating video..."):
-            # Use Pika Labs or Deforum API for image-to-video
-            video_url = "https://api.pika.art/video/generate"  # Example API endpoint
-            files = {"image": uploaded_file}
-            response = requests.post(video_url, files=files)
-            if response.status_code == 200:
-                video_data = response.content
-                st.video(video_data)
-            else:
-                st.error("Failed to generate video. Please try again.")
+# Clean up temporary files
+if os.path.exists("input_video.mp4"):
+    os.remove("input_video.mp4")
+if os.path.exists("trimmed_video.mp4"):
+    os.remove("trimmed_video.mp4")
+if os.path.exists("cropped_video.mp4"):
+    os.remove("cropped_video.mp4")
+if os.path.exists("text_video.mp4"):
+    os.remove("text_video.mp4")
+if os.path.exists("music_video.mp4"):
+    os.remove("music_video.mp4")
+if os.path.exists("background_music.mp3"):
+    os.remove("background_music.mp3")