Delete config.py and ocr.py files, update base_prompt in base.py

src/config.py

@@ -1,7 +0,0 @@
-from decouple import config
-import os
-
-OPENAI_API_KEY = config('OPENAI_API_KEY', default="")
-emmbedding_model = "text-embedding-3-large"
-
-file_Directory= os.path.join(os.getcwd(), "data")

src/module/prompts/base.py

@@ -12,10 +12,11 @@ base_prompt = dedent("""
 
         Analyse data from the above product description to give me the following details in JSON format:
         ( return "null" where you don't have a answer)
-        {{
+        
         "brand": "sample_brand",
         "mrp": "The price might start with MRP or Rs.",
         "unit": "per pack",
+        "Quantity": 1,  ##num of products visible
         "parent_category": "from the above given list",
         "ingredients": ["ingredient1", "ingredient2", "ingredient3"],
         "calorie_count": "Would be in numbers",
@@ -26,8 +27,7 @@ base_prompt = dedent("""
         "promotion_on_the_pack": "if any",
         "type_of_product": "give this your understanding",
         "pack_of_or_no_of_units": "No. of Units"
-        }}
-
+     
 
         Analyse data from the above product description to give me the following details in JSON format:
         Only return the output in the required json format.

src/ocr.py

@@ -1,31 +0,0 @@
-from azure.ai.formrecognizer import DocumentAnalysisClient
-from azure.core.credentials import AzureKeyCredential
-from config import key, endpoint
-import easyocr
-
-def azure_ocr(image_path):
-    try:
-        # Create a DocumentAnalysisClient instance
-        document_analysis_client = DocumentAnalysisClient(
-            endpoint=endpoint, credential=AzureKeyCredential(key)
-        )
-
-        # Open the image file and begin document analysis
-        with open(image_path, "rb") as image_file:
-            poller = document_analysis_client.begin_analyze_document(
-                "prebuilt-read", document=image_file
-            )
-            result = poller.result()
-            return result.content
-    except Exception as e:
-        print('Error occurred:', e)
-        return ""
-    
-def easy_ocr(image_path):
-    try:
-        reader = easyocr.Reader(['en','hi','bn','mr','ta','te'])
-        result = reader.readtext(image_path)
-        return result
-    except Exception as e:
-        print('Error occurred:', e)
-        return []