Create requirements.txt

requirements.txt

@@ -1,29 +1,2 @@
-from fastapi import FastAPI, UploadFile
-import ffmpeg
-from transformers import pipeline
-
-app = FastAPI()
-
-# Load Hugging Face model (example: text-to-video)
-model = pipeline("text-to-video-generation", model="damo-vilab/modelscope-text-to-video-synthesis")
-
-@app.post("/generate_video/")
-async def generate_video(prompt: str):
-    # Generate video from text
-    result = model(prompt)
-    output_file = "generated_video.mp4"
-    with open(output_file, "wb") as f:
-        f.write(result["video"])
-
-    return {"message": "Video generated successfully!", "file_path": output_file}
-
-@app.post("/upload_video/")
-async def upload_video(file: UploadFile):
-    input_file = f"uploaded_{file.filename}"
-    with open(input_file, "wb") as f:
-        f.write(file.file.read())
-    
-    # Example: Trim video using FFmpeg
-    trimmed_file = "trimmed_video.mp4"
-    ffmpeg.input(input_file).output(trimmed_file, ss=0, t=10).run()
-    return {"message": "Video uploaded and trimmed!", "file_path": trimmed_file}
+fastapi
+uvicorn[standard]