Delete TextGen

TextGen/ConfigEnv.py

@@ -1,19 +0,0 @@
-"""Config class for handling env variables.
-"""
-from functools import lru_cache
-from pydantic import BaseSettings
-
-class Settings(BaseSettings):
-    APP_ID: str
-    USER_ID: str
-    MODEL_ID: str
-    CLARIFAI_PAT: str
-    MODEL_VERSION_ID: str
-    
-    class Config:
-        env_file = '.env'
-
-@lru_cache()
-def get_settings():
-    return Settings()
-config = get_settings()

TextGen/__init__.py

@@ -1,7 +0,0 @@
-from fastapi import FastAPI
-
-app = FastAPI(title="Deploying FastAPI Apps on Huggingface")
-
-from TextGen import router
-
-

TextGen/router.py

@@ -1,53 +0,0 @@
-from pydantic import BaseModel
-
-from .ConfigEnv import config
-from fastapi.middleware.cors import CORSMiddleware
-
-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)