Cleaned up requirements

configuration.py

@@ -1,6 +1,7 @@
 """Global configuration for the Resumate application."""
 
 import os
+from openai import OpenAI
 from smolagents import OpenAIServerModel
 
 DEFAULT_GITHUB_PROFILE = "https://github.com/gperdrizet"
@@ -10,9 +11,14 @@ DEFAULT_GITHUB_PROFILE = "https://github.com/gperdrizet"
 #     max_tokens=8000
 # )
 
+SUMMARIZER_MODEL = OpenAI(
+    base_url="https://gperdrizet--vllm-openai-compatible-summarization-serve.modal.run/v1",
+    api_key=os.environ['MODAL_TOKEN_SECRET']
+)
+
 AGENT_MODEL = OpenAIServerModel(
-    model_id="vllm-deepseek-v3",
-    api_base="https://gperdrizet--vllm-deepseek-v3-serve.modal.run/v1",
+    model_id="deepseek-R1-qwen-32B",
+    api_base="https://gperdrizet--deepseek-R1-qwen-32B-serve.modal.run/v1",
     api_key=os.environ["MODAL_TOKEN_SECRET"],
 )
 

functions/gradio.py

@@ -148,7 +148,7 @@ def process_inputs(linkedin_pdf, github_url, job_post_text, user_instructions):
     else:
         result += "ℹ️ No job post provided, attempting to use default\n"
         logger.info("No job post text provided, trying default")
-        
+
         # Try to load default job call
         default_job = load_default_job_call()
         if default_job:
@@ -230,8 +230,8 @@ def get_processed_data(linkedin_pdf, github_url, job_post_text, instructions):
         if default_job:
             job_post_text = default_job
         else:
-            # No job post provided and no default available - proceed without job post
-            logger.info("No job post provided and no default available, proceeding without job analysis")
+            # No job post provided and no default available
+            logger.info("No job post provided and no default available")
             job_post_text = None
 
     processed_data = {

functions/job_call.py

@@ -1,12 +1,10 @@
 '''Functions for summarizing and formatting job calls.'''
 
-import os
 import json
 import logging
 from pathlib import Path
 from datetime import datetime
-from openai import OpenAI
-from configuration import JOB_CALL_EXTRACTION_PROMPT
+from configuration import JOB_CALL_EXTRACTION_PROMPT, SUMMARIZER_MODEL
 
 # pylint: disable=broad-exception-caught
 
@@ -59,14 +57,16 @@ def summarize_job_call(job_call: str) -> str:
 
     logger.info("Summarizing job call (%d characters)", len(job_call))
 
-    client = OpenAI(api_key=os.environ['MODAL_TOKEN_SECRET'])
+    # client = OpenAI(
+    #     api_key=os.environ['MODAL_TOKEN_SECRET']
+    # )
 
-    client.base_url = (
-        'https://gperdrizet--vllm-deepseek-v3-serve.modal.run/v1'
-    )
+    # client.base_url = (
+    #     'https://gperdrizet--deepseek-R1-qwen-32B-serve.modal.run/v1'
+    # )
 
     # Default to first available model
-    model = client.models.list().data[0]
+    model = SUMMARIZER_MODEL.models.list().data[0]
     model_id = model.id
 
     messages = [
@@ -79,19 +79,10 @@ def summarize_job_call(job_call: str) -> str:
     completion_args = {
         'model': model_id,
         'messages': messages,
-        # "frequency_penalty": args.frequency_penalty,
-        # "max_tokens": 128,
-        # "n": args.n,
-        # "presence_penalty": args.presence_penalty,
-        # "seed": args.seed,
-        # "stop": args.stop,
-        # "stream": args.stream,
-        # "temperature": args.temperature,
-        # "top_p": args.top_p,
     }
 
     try:
-        response = client.chat.completions.create(**completion_args)
+        response = SUMMARIZER_MODEL.chat.completions.create(**completion_args)
 
     except Exception as e:
         response = None

requirements.txt

@@ -1,6 +1,6 @@
 gradio==5.35.0
 modal
+openai
 PyPDF2
 requests
-smolagents[openai]
-openai
+smolagents[openai]