Update main.py

main.py

@@ -1,9 +1,7 @@
-from fastapi import FastAPI
+from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
 import asyncio
 from Linlada import Chatbot, ConversationStyle
-from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
-import torch
 
 app = FastAPI()
 
@@ -20,16 +18,6 @@ async def generate(prompt):
     result = await bot.ask(prompt=prompt, conversation_style=ConversationStyle.precise)
     return result
 
-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
 
 @app.get("/")
 def read_root():
@@ -39,15 +27,18 @@ def read_root():
 def hi(hello: str):
     return {"text": hello}
 
-@app.get("/image/{image}")
-def img(image: str):
+
+@app.post('/linlada')
+async def generate_image_route(request: Request):
+    data = await request.json()
+    prompt = data['prompt']
     loop = asyncio.new_event_loop()
     asyncio.set_event_loop(loop)
-    result = loop.run_until_complete(generate_image(image))
+    result = loop.run_until_complete(generate(prompt))
     loop.close()
     return result
-    
-@app.get('/linlada/{prompt}')
+
+@app.get('/chat/{prompt}')
 def generate_image_route(prompt: str):
     loop = asyncio.new_event_loop()
     asyncio.set_event_loop(loop)