Create app.py

app.py

@@ -0,0 +1,41 @@
+from flask import Flask, render_template, request, jsonify, send_from_directory
+from diffusers import DiffusionPipeline
+import os
+
+app = Flask(__name__)
+
+# Load the AI text-to-video model
+pipe = DiffusionPipeline.from_pretrained("ali-vilab/text-to-video-ms-1.7b")
+
+# Ensure static folder exists for saving videos
+os.makedirs("static", exist_ok=True)
+
+@app.route("/")
+def home():
+    return render_template("index.html")
+
+@app.route("/generate", methods=["POST"])
+def generate():
+    data = request.json
+    prompt = data.get("prompt", "")
+
+    if not prompt:
+        return jsonify({"error": "No prompt provided"}), 400
+
+    try:
+        # Generate video using AI model
+        video = pipe(prompt).videos[0]
+        video_path = "static/generated_video.mp4"
+        video.save(video_path)
+
+        return jsonify({"video_url": video_path})
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+@app.route("/static/<path:filename>")
+def serve_static(filename):
+    return send_from_directory("static", filename)
+
+if __name__ == "__main__":
+    app.run(debug=True)
+