Update app.py

app.py

@@ -1,47 +1,7 @@
-from pydantic import BaseModel
+from fastapi import FastAPI
 
-from .ConfigEnv import config
-from fastapi.middleware.cors import CORSMiddleware
+app = FastAPI()
 
-from langchain.llms import Clarifai
-from langchain.chains import LLMChain
-from langchain.prompts import PromptTemplate
-from TextGen import app
-
-class Generate(BaseModel):
-    text:str
-
-def generate_text(prompt: str):
-    if prompt == "":
-        return {"detail": "Please provide a prompt."}
-    else:
-        prompt = PromptTemplate(template=prompt, input_variables=['Prompt'])
-        llm = Clarifai(
-            pat = config.CLARIFAI_PAT,
-            user_id = config.USER_ID,
-            app_id = config.APP_ID, 
-            model_id = config.MODEL_ID,
-            model_version_id=config.MODEL_VERSION_ID,
-        )
-        llmchain = LLMChain(
-            prompt=prompt,
-            llm=llm
-        )
-        llm_response = llmchain.run({"Prompt": prompt})
-        return Generate(text=llm_response)
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-@app.get("/", tags=["Home"])
-def api_home():
-    return {'detail': 'Welcome to FastAPI TextGen Tutorial!'}
-
-@app.post("/api/generate", summary="Generate text from prompt", tags=["Generate"], response_model=Generate)
-def inference(input_prompt: str):
-    return generate_text(prompt=input_prompt)
+@app.get("/")
+def greet_json():
+    return {"Hello": "World!"}