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bd87b93 18899bc f6dc7ba 18899bc f6dc7ba 18899bc 32b86d6 18899bc 32b86d6 18899bc 32b86d6 bd87b93 18899bc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | import gradio as gr
import cv2
import PIL.Image
import google.generativeai as genai
import os
# API Key Configure
genai.configure(api_key=os.environ.get("GOOGLE_API_KEY"))
def process_recap(video_path):
# 1. ဗီဒီယိုကို အပိုင်းပိုင်း (၅ စက္ကန့် တစ်ကြိမ်) Frame ယူခြင်း
cap = cv2.VideoCapture(video_path)
fps = cap.get(cv2.CAP_PROP_FPS)
frames = []
count = 0
while cap.isOpened():
ret, frame = cap.read()
if not ret: break
if count % (int(fps) * 5) == 0: # 5 seconds interval
rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
frames.append(PIL.Image.fromarray(rgb_frame))
count += 1
cap.release()
# 2. AI သို့ ပို့ခြင်း
model = genai.GenerativeModel('gemini-1.5-flash')
prompt = "You are a movie recap expert. Look at these frames from a 2-minute video and write a dramatic, short recap script with a hook."
# Frame တွေကို list အနေနဲ့ ပို့မယ်
response = model.generate_content([prompt] + frames)
return response.text
# Gradio Interface
demo = gr.Interface(
fn=process_recap,
inputs=gr.Video(),
outputs="text",
title="2-Minute Movie Recap AI"
)
demo.launch()
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