Update app.py

app.py

@@ -349,9 +349,8 @@ llm = ChatOpenAI(
     max_tokens=None,
     timeout=None,
     max_retries=5
-)| PromptTemplate(
-    input_variables=["history", "query"],
-    template="""
+)
+template="""
     You are JobAI. You process user input and generate human-like responses to assist with job searching and application processes. Tasks include:
     (provide links where ever required)
     - Searching for job openings based on user criteria
@@ -360,11 +359,11 @@ llm = ChatOpenAI(
     - Generating cover letters tailored to specific job openings
     - Offering interview preparation assistance
     Respond to user queries and engage in conversation to guide them through the job application process. Utilize context and understanding to provide accurate and helpful responses
-    {{history}}
+    
     
     User Query: {{query}}
     """
-)
+
 agent_tools = [ipc_tool, crpc_tool, doj_tool, faq_tool]
 
 agent = initialize_agent(
@@ -380,7 +379,7 @@ agent = initialize_agent(
 def encode_image_to_base64(image_path):
     return pytesseract.image_to_string(Image.open(image_path))
 def chatbot_response(history,query):
-    
+    print(history)
     if query.get('files'):
         # Encode image to base64
         image_data=""
@@ -390,17 +389,17 @@ def chatbot_response(history,query):
         # Create a multimodal message with both text and image data
         message = HumanMessage(
             content=[
-                {"type": "text", "text": query['text'] +" System :Image(s) was added to this prompt by this user. Text Extracted from this image (Some words may be misspelled ,Use your understanding ):"+image_data},  # Add text input
+                {"type": "text", "text": template.format(query['text'] +" System :Image(s) was added to this prompt by this user. Text Extracted from this image (Some words may be misspelled ,Use your understanding ):"+image_data)},  # Add text input
                
             ]
         )
         #k+=" System :Image(s) was added to this prompt by this user. Text Extracted from this image (Some words may be misspelled ,Use your understanding ):"+image_data
     else:
         # If no image, only pass the text
-        message = HumanMessage(content=[{"type": "text", "text": query}])
+        message = HumanMessage(content=[{"type": "text", "text": template.format(query)}])
 
     # Invoke the model with the multimodal message
-    result = agent.invoke({'history':history,'input':message.content},handle_parsing_errors=True)
+    result = agent.invoke([message],handle_parsing_errors=True)
     response = result['output']
     intermediate_steps = result.get('intermediate_steps', [])