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import cohere
import gradio as gr
import requests
from PIL import Image
import io
def generate_text(prompt,maxi,cohere_api_key):
co = cohere.Client(cohere_api_key)
response = co.generate(prompt=prompt,
temperature=0,
max_tokens=maxi)
return response[0]
def generate_image(prompt,gradio_api_key):
r = requests.post('https://clipdrop-api.co/text-to-image/v1',
files={
'prompt': (None, prompt, 'text/plain')
},
headers={'x-api-key': gradio_api_key}
)
if r.ok:
images = Image.open(io.BytesIO(r.content))
return images
else:
raise ValueError("Failed to generate image")
def text_and_image_generator(prompt,maxi,cohere_api_key,gradio_api_key):
cohere_api_key = "3kUv9DkIN6vtDUhUXFnYyk3cqy53VWuDfC6g3mp4"
gradio_api_key = "e35a803cffac3d96f1c364a1bb8ddf00fd702be129881b1acb36f963c0ba86489cad39a6cb6f15f7cbfe919a3c4eb46e"
text = generate_text(f"Generate a story with {prompt}. Conclude the generated story properly.",maxi,cohere_api_key)
image = generate_image(text,gradio_api_key)
title = generate_text(f"title for the story {prompt} within 5 words",5,cohere_api_key)
return title,text,image
app = gr.Interface(
title="Story and Image Generator",
fn=text_and_image_generator,
inputs = [gr.inputs.Textbox(label="Enter your prompt to generate a story"),
gr.inputs.Slider(200,1000,label="Story length")],
outputs= [gr.outputs.Textbox(label="Story title"),gr.outputs.Textbox(label="Story"),gr.outputs.Image(type="pil",label="Image based on the Generated story")],theme="dark"
)
app.launch() |