update scripts and script README

scripts/README.md

@@ -99,13 +99,9 @@ $ python infer_microsoft.py \
 
 To handle various document formats with Unstructured, follow the steps below:
 ```
-$ pip install "unstructured[all-docs]"
-$ pip install poppler-utils
-
-$ apt install tesseract-ocr libtesseract-dev
-$ apt install tesseract-ocr-[lang] # use an appropriate language code 
+$ pip install "unstructured-client"
 ```
-Detailed installation instructions can be found [here](https://unstructured-io.github.io/unstructured/installing.html). Use [Tesseract Language Codes](https://tesseract-ocr.github.io/tessdoc/Data-Files-in-different-versions.html) for OCR support in different languages.
+Detailed installation instructions can be found [here](https://docs.unstructured.io/api-reference/api-services/sdk-python). 
 
 **Note:** To run the Unstructured inference code, you must set the `UNSTRUCTURED_API_KEY` and `UNSTRUCTURED_URL` variables.
 

scripts/infer_aws.py

@@ -36,6 +36,10 @@ class AWSInference:
         AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY") or ""
         AWS_REGION = os.getenv("AWS_REGION") or ""
         AWS_S3_BUCKET_NAME = os.getenv("AWS_S3_BUCKET_NAME") or ""
+
+        if not all([AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION, AWS_S3_BUCKET_NAME]):
+            raise ValueError("Please set the environment variables for AWS")
+
         self.client = boto3.client(
             "textract",
             region_name=AWS_REGION,

scripts/infer_google.py

@@ -35,13 +35,13 @@ class GoogleInference:
             input_formats (list, optional): the supported file formats.
         """
         self.project_id = os.getenv("GOOGLE_PROJECT_ID") or ""
-
         self.processor_id = os.getenv("GOOGLE_PROCESSOR_ID") or ""
-
         self.location = os.getenv("GOOGLE_LOCATION") or ""
-
         self.endpoint = os.getenv("GOOGLE_ENDPOINT") or ""
 
+        if not all([self.project_id, self.processor_id, self.location, self.endpoint]):
+            raise ValueError("Please set the environment variables for Google Cloud")
+
         self.processor_version = "rc"
 
         validate_json_save_path(save_path)

scripts/infer_llamaparse.py

@@ -34,6 +34,9 @@ class LlamaParseInference:
         self.post_url = os.getenv("LLAMAPARSE_POST_URL") or ""
         self.get_url = os.getenv("LLAMAPARSE_GET_URL") or ""
 
+        if not all([self.api_key, self.post_url, self.get_url]):
+            raise ValueError("Please set the environment variables for LlamaParse")
+
         self.headers = {
               "Accept": "application/json",
               "Authorization": f"Bearer {self.api_key}",

scripts/infer_microsoft.py

@@ -32,11 +32,14 @@ class MicrosoftInference:
             save_path (str): the json path to save the results
             input_formats (list, optional): the supported file formats.
         """
-        KEY = os.getenv("MICROSOFT_API_KEY") or ""
-        ENDPOINT = os.getenv("MICROSOFT_ENDPOINT") or ""
+        MICROSOFT_API_KEY = os.getenv("MICROSOFT_API_KEY") or ""
+        MICROSOFT_ENDPOINT = os.getenv("MICROSOFT_ENDPOINT") or ""
+
+        if not all([MICROSOFT_API_KEY, MICROSOFT_ENDPOINT]):
+            raise ValueError("Please set the environment variables for Microsoft")
 
         self.document_analysis_client = DocumentAnalysisClient(
-            endpoint=ENDPOINT, credential=AzureKeyCredential(KEY)
+            endpoint=MICROSOFT_ENDPOINT, credential=AzureKeyCredential(MICROSOFT_API_KEY)
         )
 
         validate_json_save_path(save_path)

scripts/infer_unstructured.py

@@ -6,7 +6,6 @@ from pathlib import Path
 
 import unstructured_client
 from unstructured_client.models import operations, shared
-from unstructured.staging.base import elements_from_dicts
 
 from utils import read_file_paths, validate_json_save_path, load_json_file
 
@@ -45,6 +44,9 @@ class UnstructuredInference:
         self.api_key = os.getenv("UNSTRUCTURED_API_KEY") or ""
         self.url = os.getenv("UNSTRUCTURED_URL") or ""
 
+        if not self.api_key or not self.url:
+            raise ValueError("Please set the environment variables for Unstructured")
+
         self.languages = ["eng", "kor"]
         self.get_coordinates = True
         self.infer_table_structure = True
@@ -70,15 +72,15 @@ class UnstructuredInference:
 
             id_counter = 0
             for elem in output_data:
-                transcription = elem
-                category = CATEGORY_MAP.get(elem.category, "paragraph")
-                if elem.metadata.coordinates is None:
+                transcription = elem["text"]
+                category = CATEGORY_MAP.get(elem["type"], "paragraph")
+                if elem["metadata"]["coordinates"] is None:
                     continue
 
-                xy_coord = [{"x": x, "y": y} for x, y in elem.metadata.coordinates.points]
+                xy_coord = [{"x": x, "y": y} for x, y in elem["metadata"]["coordinates"]["points"]]
 
                 if category == "table":
-                    transcription = elem.metadata.text_as_html
+                    transcription = elem["metadata"]["text_as_html"]
 
                 data_dict = {
                     "coordinates": xy_coord,
@@ -135,7 +137,7 @@ class UnstructuredInference:
 
             try:
                 res = self.client.general.partition(request=req)
-                elements = elements_from_dicts(res.elements)
+                elements = res.elements
             except Exception as e:
                 print(e)
                 print("Error processing document..")

scripts/infer_upstage.py

@@ -27,6 +27,9 @@ class UpstageInference:
         self.endpoint = os.getenv("UPSTAGE_ENDPOINT", "")
         self.api_key = os.getenv("UPSTAGE_API_KEY", "")
 
+        if not all([self.endpoint, self.api_key]):
+            raise ValueError("Please set the environment variables for Upstage")
+
         validate_json_save_path(save_path)
         self.save_path = save_path
         self.processed_data = load_json_file(save_path)