Arafath10 commited on
Commit
13ac926
1 Parent(s): c88da40

Update main.py

Browse files
Files changed (1) hide show
  1. main.py +21 -77
main.py CHANGED
@@ -7,22 +7,16 @@ from io import StringIO
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  import os
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  import uuid,requests
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10
- from apscheduler.schedulers.background import BackgroundScheduler
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-
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- # import googletrans
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- # from googletrans import Translator
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- # translator = Translator()
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- # lan = googletrans.LANGUAGES
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- # #print(lan)
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- # keys = list(lan.keys())
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- # vals = list(lan.values())
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- from pandasai import SmartDataframe
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- import pandas as pd
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- from pandasai.llm import OpenAI
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- secret = os.environ["key"]
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  app = FastAPI()
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  app.add_middleware(
@@ -33,71 +27,21 @@ app.add_middleware(
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  allow_headers=["*"],
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  )
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- import base64
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- from PIL import Image
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- from io import BytesIO
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-
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- # @app.post("/translator")
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- # async def tra(sentence,lang):
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- # lang = lang.lower()
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- # return translator.translate(sentence,dest=keys[vals.index(lang)]).text
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-
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- def convert_image_to_base64(image_path):
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- with Image.open(image_path) as image:
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- buffered = BytesIO()
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- image.save(buffered, format="PNG")
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- img_bytes = buffered.getvalue()
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- img_base64 = base64.b64encode(img_bytes)
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- img_base64_string = img_base64.decode("utf-8")
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- return img_base64_string
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-
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-
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- # # Function to call the endpoint
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- def call_my_endpoint():
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- response = requests.post('https://research-project-h4fb.onrender.com/refresh_api')
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- print(f"Endpoint response: {response.json()}")
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- # # Configure the scheduler
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- scheduler = BackgroundScheduler()
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- scheduler.add_job(call_my_endpoint, 'interval', seconds=15) # Call every 30 seconds
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- scheduler.start()
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- @app.post("/get_image_for_text")
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- async def get_image_for_text(email,query,file: UploadFile = File(...)):
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- print(file.filename)
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- file_name = file.filename
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- with open(email+file_name, "wb") as file_object:
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- file_object.write(file.file.read())
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- uuid1 = uuid.uuid1()
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- llm = OpenAI(api_token=secret,save_charts=True)
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- # Determine the file type and read accordingly
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- if file_name.endswith('.csv'):
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- df = pd.read_csv(email+file_name)
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- elif file_name.endswith('.xls') or file_name.endswith('.xlsx'):
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- df = pd.read_excel(email+file_name)
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- else:
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- return {"error": "Unsupported file type"}
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-
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- sdf = SmartDataframe(df, config={"llm": llm})
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- sdf.chat(query)
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- code_to_exec = "import matplotlib.pyplot as plt\nimport seaborn as sns\n"
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- code_to_exec = code_to_exec + sdf.last_code_generated.replace("dfs[0]","dfs")
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- code_to_exec = code_to_exec.replace("exports/charts/temp_chart.png",email+file_name+".png")
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- code_to_exec = code_to_exec+f"\nplt.savefig('{email+file_name}.png')"
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-
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- print(code_to_exec)
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- local_vars = {'dfs': df}
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-
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- try:
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- exec(code_to_exec, globals(), local_vars)
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- print(email+file_name+".png",df.head())
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-
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- #return FileResponse(email+file_name+".png")
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- base64str = convert_image_to_base64(email+file_name+".png")
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-
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- return {"id":str(uuid1),"image":base64str}
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- except Exception as e:
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- print(str(e))
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- return "try again"
 
7
  import os
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  import uuid,requests
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+ GOOD_BOY_URL = (
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+ "https://images.unsplash.com/photo-1518717758536-85ae29035b6d?ixlib=rb-1.2.1"
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+ "&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=1350&q=80"
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+ )
 
 
 
 
 
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+ from fastapi import FastAPI, Request, HTTPException
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+ from fastapi.responses import PlainTextResponse
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+ from twilio.twiml.messaging_response import MessagingResponse
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20
 
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  app = FastAPI()
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  app.add_middleware(
 
27
  allow_headers=["*"],
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  )
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+ @app.post("/whatsapp")
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+ async def reply_whatsapp(request: Request):
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+ form_data = await request.form()
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+ try:
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+ num_media = int(form_data.get("NumMedia", 0))
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+ except (ValueError, TypeError):
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+ raise HTTPException(status_code=400, detail="Invalid request: invalid or missing NumMedia parameter")
 
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+ response = MessagingResponse()
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+ if not num_media:
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+ msg = response.message("Send us an image!")
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+ else:
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+ msg = response.message("Thanks for the image. Here's one for you!")
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+ msg.media(GOOD_BOY_URL)
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+ return PlainTextResponse(str(response))
 
 
 
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