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app.py

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+import streamlit as st
+import os
+import asyncio
+from dotenv import load_dotenv
+from utility.logging import log_response
+from utility.script_generator import generate_script
+from utility.audio_generator import generate_audio
+from utility.timed_captions_generator import generate_timed_captions
+from utility.image_generator import generate_image_prompts, generate_images
+from utility.render_engine import get_output_media
+
+# Load environment variables
+load_dotenv()
+
+# Define async function to run in Streamlit
+async def generate_content(topic):
+    st.write("Generating script for topic:", topic)
+    script = generate_script(topic)
+    st.write("Generated Script:")
+    st.write(script)
+
+    audio_file = "output_audio.mp3"
+    
+    st.write("Generating audio...")
+    await generate_audio(script, audio_file)
+    st.write(f"Audio generated and saved to {audio_file}")
+
+    st.write("Generating timed captions...")
+    captions_timed = generate_timed_captions(audio_file)
+    st.write("Timed Captions:")
+    st.write(captions_timed)
+
+    st.write("Generating images from prompts...")
+    prompts = generate_image_prompts(script)
+    image_files = generate_images(prompts)
+    st.write("Generated Images:")
+    st.image(image_files, caption=prompts, use_column_width=True)
+
+    st.write("Rendering output media...")
+    output_file = get_output_media(audio_file, captions_timed, image_files)
+    st.write(f"Output media generated: {output_file}")
+
+    # Provide a link to download the output video file
+    with open(output_file, 'rb') as f:
+        st.download_button(label="Download Output Video", data=f, file_name=output_file, mime='video/mp4')
+
+# Define the Streamlit app layout
+def main():
+    st.title("AI Media Content Generator")
+    st.write("This app generates audio, images, and captions based on a topic using AI.")
+
+    # Input field for the topic
+    topic = st.text_input("Enter a topic:", "Future of AI")
+
+    # Run the generation when button is clicked
+    if st.button("Generate Content"):
+        # Run the asynchronous function using asyncio and Streamlit's `st.experimental_singleton` to handle async calls
+        asyncio.run(generate_content(topic))
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+aiohttp==3.9.5
+aiosignal==1.3.1
+annotated-types==0.7.0
+anyio==4.4.0
+attrs==23.2.0
+certifi==2024.6.2
+charset-normalizer==3.3.2
+Cython==3.0.10
+decorator==4.4.2
+distro==1.9.0
+dtw-python==1.5.1
+edge-tts==6.1.12
+filelock==3.14.0
+frozenlist==1.4.1
+fsspec==2024.6.0
+h11==0.14.0
+httpcore==1.0.5
+httpx==0.27.0
+edge_tts==6.1.12
+idna==3.7
+imageio==2.34.1
+imageio-ffmpeg==0.5.1
+Jinja2==3.1.4
+llvmlite==0.42.0
+MarkupSafe==2.1.5
+more-itertools==10.2.0
+moviepy==1.0.3
+mpmath==1.3.0
+g4f
+multidict==6.0.5
+networkx==3.3
+numba==0.59.1
+numpy==1.26.4
+openai-whisper==20231117
+pillow==10.3.0
+proglog==0.1.10
+pydantic==2.7.3
+pydantic_core==2.18.4
+regex==2024.5.15
+requests==2.32.3
+scipy==1.13.1
+sniffio==1.3.1
+sympy==1.12.1
+tiktoken==0.7.0
+torch==2.4.1
+tqdm==4.66.4
+transformers==4.44.2
+diffusers==0.20.1
+python-dotenv==0.0.5
+typing_extensions==4.12.1
+urllib3==2.2.1
+whisper_timestamped==1.15.4
+yarl==1.9.4
+streamlit==1.29.1