用python调用chatgpt接口合成视频

实现逻辑：

用python先调用chatgpt接口生成文本，切割文本成多段，再用多段文本调用dall–e-2模型生成图片，用多段文本分别合成语音，再用语音和图片合成视频

### 步骤 1: 调用 ChatGPT 接口生成文本

```python

import openai

openai.api_key = 'your_openai_api_key'

response = openai.Completion.create(

engine="text-davinci-003",

prompt="生成一个关于海洋生物的故事。",

max_tokens=500

)

generated_text = response['choices'][0]['text']

print(generated_text)

```

### 步骤 2: 切割文本成多段

```python

def split_text(text, max_length=100):

sentences = text.split('. ')

chunks = []

current_chunk = ""

for sentence in sentences:

if len(current_chunk) + len(sentence) + 1 > max_length:

chunks.append(current_chunk.strip())

current_chunk = sentence + ". "

else:

current_chunk += sentence + ". "

if current_chunk:

chunks.append(current_chunk.strip())

return chunks

text_chunks = split_text(generated_text)

print(text_chunks)

```

### 步骤 3: 使用 DALL-E-2 生成图片

假设你有一个 DALL-E-2 的 API 接口，你可以使用类似的方式生成图片。

```python

# 伪代码，具体实现取决于 DALL-E-2 的 API 文档

def generate_image_from_text(text, api_key):

# 调用 DALL-E-2 的 API

response = dall_e_2_api.generate_image(prompt=text, api_key=api_key)

return response['image_url']

image_urls = [generate_image_from_text(chunk, 'your_dall_e_2_api_key') for chunk in text_chunks]

print(image_urls)

```

### 步骤 4: 使用多段文本分别合成语音

你可以使用 `gTTS` 库来实现文本到语音的转换。

```python

from gtts import gTTS

def text_to_speech(text, filename):

tts = gTTS(text)

tts.save(filename)

audio_files = []

for i, chunk in enumerate(text_chunks):

filename = f"audio_{i}.mp3"

text_to_speech(chunk, filename)

audio_files.append(filename)

print(audio_files)

```

### 步骤 5: 合成视频

你可以使用 `moviepy` 库来合成视频。

```python

from moviepy.editor import *

def create_video(image_urls, audio_files, output_filename="output_video.mp4"):

clips = []

for image_url, audio_file in zip(image_urls, audio_files):

image_clip = ImageClip(image_url).set_duration(AudioFileClip(audio_file).duration)

audio_clip = AudioFileClip(audio_file)

video_clip = image_clip.set_audio(audio_clip)

clips.append(video_clip)

final_clip = concatenate_videoclips(clips)

final_clip.write_videofile(output_filename, fps=24)

create_video(image_urls, audio_files)

```