Create app.py

app.py

@@ -0,0 +1,69 @@
+from langchain.agents import load_tools
+from langchain.agents import initialize_agent
+from langchain.agents import AgentType
+from langchain.chat_models import AzureChatOpenAI
+from langchain.llms import OpenAI
+from langchain.chains.conversation.memory import ConversationBufferWindowMemory
+
+import os
+
+
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+OPENAI_API_BASE = os.getenv("OPENAI_API_BASE")
+#llm = ChatOpenAI(openai_api_key=OPENAI_API_KEY, temperature=0, model_name='gpt-3.5-turbo',openai_api_base=OPENAI_API_BASE)
+llm = AzureChatOpenAI(deployment_name="bitservice_chat_35",openai_api_base=OPENAI_API_BASE,openai_api_key=OPENAI_API_KEY,openai_api_version="2023-03-15-preview",model_name="gpt-3.5-turbo")
+
+
+import torch
+from transformers import BlipProcessor, BlipForConditionalGeneration
+
+image_to_text_model = "Salesforce/blip-image-captioning-large"
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+
+processor = BlipProcessor.from_pretrained(image_to_text_model)
+model = BlipForConditionalGeneration.from_pretrained(image_to_text_model).to(device)
+
+from transformers.models.oneformer.modeling_oneformer import OneFormerModelOutput
+import requests
+from PIL import Image
+
+def describeImage(image_url):
+  image_object = Image.open(requests.get(image_url, stream=True).raw).convert('RGB')
+  # image
+  inputs = processor(image_object, return_tensors="pt").to(device)
+  outputs = model.generate(**inputs)
+  return processor.decode(outputs[0], skip_special_tokens=True)
+
+
+from langchain.tools import BaseTool
+
+class DescribeImageTool(BaseTool):
+    name = "Describe Image Tool"
+    description = 'use this tool to describe an image.'
+
+    def _run(self, url: str):
+        description = describeImage(url)
+        return description
+    
+    def _arun(self, query: str):
+        raise NotImplementedError("Async operation not supported yet")
+
+tools = [DescribeImageTool()]
+
+
+agent = initialize_agent(
+    agent='chat-conversational-react-description',
+    tools=tools,
+    llm=llm,
+    verbose=True,
+    max_iterations=3,
+    early_stopping_method='generate',
+    memory=ConversationBufferWindowMemory(
+        memory_key='chat_history',
+        k=5,
+        return_messages=True
+    )
+)
+
+image_url = 'https://images.unsplash.com/photo-1682228287072-5e23cbffd487?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=987&q=80'
+agent(f"Please describe the following image:\n{image_url}")