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Update app.py
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app.py
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from flask import Flask, request, jsonify,
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from flask_cors import CORS
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import
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import
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app = Flask(__name__)
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CORS(app)
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@app.route('/health')
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def health_check():
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return jsonify({"status": "ready"}), 200
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# Standard answer route
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@app.route('/ask', methods=['POST'])
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def ask_question():
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try:
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global temp_data
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data = request.get_json()
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question = data.get('question', '').strip()
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if not question:
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return jsonify({"error": "Question is required"}), 400
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answer = generate_long_answer(question)
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temp_data['
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860)
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from flask import Flask, request, jsonify, send_file
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from flask_cors import CORS
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from moviepy.editor import ImageClip, concatenate_videoclips
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import traceback
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import uuid
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import glob
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import os
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import asyncio
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from text2generation import generate_long_answer # Your function
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from image_fetcher import main # Your async function (optional)
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from video import create_text_image # Your function
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app = Flask(__name__)
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CORS(app)
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# Store temporary data
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temp_data = {}
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@app.route('/health')
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def health_check():
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return jsonify({"status": "ready"}), 200
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@app.route('/ask', methods=['POST'])
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def ask_question():
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try:
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data = request.get_json()
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question = data.get('question', '').strip()
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if not question:
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return jsonify({"error": "Question is required"}), 400
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# Step 1: Generate Answer
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answer = generate_long_answer(question)
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temp_data['answer'] = answer
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# Step 2: Start Video Generation
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video_path = generate_video_from_text(answer)
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temp_data['video_path'] = video_path
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# Step 3: Respond with JSON
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return jsonify({
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"question": question,
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"answer": answer,
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"video_url": f"/download_video/{os.path.basename(video_path)}"
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})
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except Exception as e:
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traceback.print_exc()
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return jsonify({"error": str(e)}), 500
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@app.route('/download_video/<filename>')
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def download_video(filename):
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try:
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path = f"/tmp/{filename}"
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return send_file(path, mimetype='video/mp4')
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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def generate_video_from_text(prompts):
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image_folder = "/tmp/images"
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os.makedirs(image_folder, exist_ok=True)
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raw_lines = prompts.splitlines(keepends=False)
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lines = []
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i = 0
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while i < len(raw_lines):
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line = raw_lines[i].strip()
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if line.endswith('?') or line.endswith(';'):
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block = line
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i += 1
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paragraph_lines = []
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count = 0
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while i < len(raw_lines) and not (raw_lines[i].strip().endswith('?') or raw_lines[i].strip().endswith(';')) and count < 5:
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paragraph_lines.append(raw_lines[i])
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i += 1
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count += 1
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if paragraph_lines:
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block += '\n' + '\n'.join(paragraph_lines)
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lines.append(block)
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else:
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block = '\n'.join(raw_lines[i:i+5])
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lines.append(block)
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i += 5
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image_list = []
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for idx, block in enumerate(lines):
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create_text_image(block, idx, image_list)
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image_files = sorted(glob.glob(os.path.join(image_folder, "*.png")))
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if not image_files:
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raise ValueError("No images found!")
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clips = [ImageClip(img).set_duration(5) for img in image_files]
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video = concatenate_videoclips(clips, method="compose")
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video_path = f"/tmp/video_{uuid.uuid4().hex}.mp4"
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video.write_videofile(video_path, fps=24)
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for img in image_files:
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os.remove(img)
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return video_path
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860)
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