updating to azure gpt3.5turbo

Dockerfile

@@ -15,4 +15,4 @@ RUN pip install --no-cache-dir --upgrade -r /src/requirements.txt
 WORKDIR /src/MM-REACT
 
 
-CMD ["python", "app.py", "--port", "7860", "--openAIModel", "azureChatGPT", "--noIntermediateConv"]
+CMD ["python", "app.py", "--port", "7860", "--openAIModel", "azureGPT35turbo", "--noIntermediateConv"]

MM-REACT/app.py

@@ -16,6 +16,7 @@ from langchain.llms import OpenAI
 from langchain.chains import PALChain
 from langchain.llms import AzureOpenAI
 from langchain.utilities import ImunAPIWrapper, ImunMultiAPIWrapper
+from langchain.utils import get_url_path
 from openai.error import AuthenticationError, InvalidRequestError, RateLimitError
 import argparse
 import logging
@@ -100,15 +101,17 @@ def load_chain(history, log_state):
         params=os.environ.get("IMUN_OCR_PARAMS"),
         imun_subscription_key=os.environ.get("IMUN_OCR_SUBSCRIPTION_KEY"))
 
+    imun_invoice = ImunAPIWrapper(
+        imun_url=os.environ.get("IMUN_OCR_INVOICE_URL"),
+        params=os.environ.get("IMUN_OCR_PARAMS"),
+        imun_subscription_key=os.environ.get("IMUN_OCR_SUBSCRIPTION_KEY"))
+
     bing = BingSearchAPIWrapper(k=2)
 
     def edit_photo(query: str) -> str:
         endpoint = os.environ.get("PHOTO_EDIT_ENDPOINT_URL")
         query = query.strip()
-        url_idx = query.rfind(" ")
-        img_url = query[url_idx + 1:].strip()
-        if img_url.endswith((".", "?")):
-            img_url = img_url[:-1]
+        url_idx, img_url = get_url_path(query)
         if not img_url.startswith(("http://", "https://")):
             return "Invalid image URL"
         img_url = img_url.replace("0.0.0.0", os.environ.get("PHOTO_EDIT_ENDPOINT_URL_SHORT"))
@@ -180,6 +183,16 @@ def load_chain(history, log_state):
             "Input should be an image url, or path to an image file (e.g. .jpg, .png)."
             )
         ),
+        Tool(
+            name = "Invoice Understanding",
+            func=imun_invoice.run,
+            description=(
+            "A wrapper around invoice understanding. "
+            "Useful after Image Understanding tool has recognized businesscard in the image tags."
+            "This tool can find the actual business card text, name, address, email, website on the card."
+            "Input should be an image url, or path to an image file (e.g. .jpg, .png)."
+            )
+        ),
         Tool(
             name = "Celebrity Understanding",
             func=imun_celeb.run,
@@ -405,7 +418,7 @@ def init_and_kick_off():
     chat = ChatWrapper()
 
     exampleTitle = """<h3>Examples to start conversation..</h3>"""    
-    comingSoon = """<center><b><p style="color:Red;">MM-REACT: March 21th version with image understanding capabilities</p></b></center>"""
+    comingSoon = """<center><b><p style="color:Red;">MM-REACT: March 29th version with image understanding capabilities</p></b></center>"""
     detailLinks = """    
     <center>
         <a href="https://multimodal-react.github.io/"> MM-ReAct Website</a>
@@ -508,8 +521,8 @@ if __name__ == '__main__':
     parser = argparse.ArgumentParser()
 
     parser.add_argument('--port', type=int, required=False, default=7860)
-    parser.add_argument('--openAIModel', type=str, required=False, default='azureChatGPT')
-    parser.add_argument('--noIntermediateConv', default=False, action='store_true', help='if this flag is turned on no intermediate conversation should be shown')
+    parser.add_argument('--openAIModel', type=str, required=False, default='azureGPT35turbo')
+    parser.add_argument('--noIntermediateConv', default=True, action='store_true', help='if this flag is turned on no intermediate conversation should be shown')
 
     global ARGS
     ARGS = parser.parse_args()