Update main.py

main.py

@@ -1,7 +1,5 @@
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-import asyncio
-from Linlada import Chatbot, ConversationStyle
 from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
 import torch
 
@@ -15,42 +13,18 @@ app.add_middleware(
     allow_credentials=True,
 )
 
-async def generate(prompt):
-    bot = await Chatbot.create()
-    result = await bot.ask(prompt=prompt, conversation_style=ConversationStyle.precise)
-    return result
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
 
 def dummy(images, **kwargs):
     return images, False
 
-async def generate_image(prompt):
-    model_id = "runwayml/stable-diffusion-v1-5"
-    pipe = await StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
-    pipe = pipe.to("cuda")
-    pipe.safety_checker = dummy
-    image = await pipe(prompt).images[0]
-    return image
+pipe.safety_checker = dummy
 
-@app.get("/")
-def read_root():
-    return "Hello, I'm Linlada"
-
-@app.get("/test/{hello}")
-def hi(hello: str):
-    return {"text": hello}
-
-@app.get("/image/{image}")
-def img(image: str):
-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
-    result = loop.run_until_complete(generate_image(image))
-    loop.close()
-    return result
-    
-@app.get('/linlada/{prompt}')
-def generate_image_route(prompt: str):
-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
-    result = loop.run_until_complete(generate(prompt))
-    loop.close()
-    return result
+@app.get('/')
+def generate_image():
+    prompt = request.args.get('prompt')
+    image = pipe(prompt).images[0]
+    # do something with the generated image
+    return image