Update src/config.py

src/config.py

@@ -1,74 +1,74 @@
-import os
-from dotenv import load_dotenv
-load_dotenv()
-from langchain_groq import ChatGroq
-from langchain_community.document_loaders import PyPDFLoader
-from langchain_openai import ChatOpenAI
-from typing import Dict, List, Any, Tuple, Optional, Type
-from crewai import LLM
-#########################################################################################################
-# formatage du json
-def format_cv(document):
-    def format_section(title, data, indent=0):
-        prefix = "  " * indent
-        lines = [f"{title}:"]
-        if isinstance(data, dict):
-            for k, v in data.items():
-                if isinstance(v, (dict, list)):
-                    lines.append(f"{prefix}- {k.capitalize()}:")
-                    lines.extend(format_section("", v, indent + 1))
-                else:
-                    lines.append(f"{prefix}- {k.capitalize()}: {v}")
-        elif isinstance(data, list):
-            for i, item in enumerate(data):
-                lines.append(f"{prefix}- Élément {i + 1}:")
-                lines.extend(format_section("", item, indent + 1))
-        else:
-            lines.append(f"{prefix}- {data}")
-        return lines
-    sections = []
-    for section_name, content in document.items():
-        title = section_name.replace("_", " ").capitalize()
-        sections.extend(format_section(title, content))
-        sections.append("") 
-    return "\n".join(sections)
-
-
-def read_system_prompt(file_path):
-    with open(file_path, 'r', encoding='utf-8') as file:
-        return file.read()
-
-def load_pdf(pdf_path):
-    loader = PyPDFLoader(pdf_path)
-    pages = loader.load_and_split()
-    cv_text = ""
-    for page in pages:
-        cv_text += page.page_content + "\n\n"
-    return cv_text    
-
-#########################################################################################################        
-# modéles 
-
-"""GEMINI_API_KEY = os.getenv("GOOGLE_API_KEY")
-model_google = "gemini/gemma-3-27b-it"
-def chat_gemini():
-    llm = ChatGoogleGenerativeAI("gemini/gemma-3-27b-it")"""
-
-OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-model_openai = "gpt-4o"  
-
-def crew_openai():
-    llm = ChatOpenAI(
-        model="gpt-4o-mini",
-        temperature=0.1,
-        api_key=OPENAI_API_KEY
-    )
-    return llm
-
-def chat_openai():
-    llm = ChatOpenAI(
-        model="gpt-4o",
-        temperature=0.6,
-        api_key=OPENAI_API_KEY
-    )
-    return llm
+import os
+from dotenv import load_dotenv
+load_dotenv()
+from langchain_groq import ChatGroq
+from langchain_community.document_loaders import PyPDFLoader
+from langchain_openai import ChatOpenAI
+from typing import Dict, List, Any, Tuple, Optional, Type
+from crewai import LLM
+#########################################################################################################
+# formatage du json
+def format_cv(document):
+    def format_section(title, data, indent=0):
+        prefix = "  " * indent
+        lines = [f"{title}:"]
+        if isinstance(data, dict):
+            for k, v in data.items():
+                if isinstance(v, (dict, list)):
+                    lines.append(f"{prefix}- {k.capitalize()}:")
+                    lines.extend(format_section("", v, indent + 1))
+                else:
+                    lines.append(f"{prefix}- {k.capitalize()}: {v}")
+        elif isinstance(data, list):
+            for i, item in enumerate(data):
+                lines.append(f"{prefix}- Élément {i + 1}:")
+                lines.extend(format_section("", item, indent + 1))
+        else:
+            lines.append(f"{prefix}- {data}")
+        return lines
+    sections = []
+    for section_name, content in document.items():
+        title = section_name.replace("_", " ").capitalize()
+        sections.extend(format_section(title, content))
+        sections.append("") 
+    return "\n".join(sections)
+
+
+def read_system_prompt(file_path):
+    with open(file_path, 'r', encoding='utf-8') as file:
+        return file.read()
+
+def load_pdf(pdf_path):
+    loader = PyPDFLoader(pdf_path)
+    pages = loader.load_and_split()
+    cv_text = ""
+    for page in pages:
+        cv_text += page.page_content + "\n\n"
+    return cv_text    
+
+#########################################################################################################        
+# modéles 
+
+"""GEMINI_API_KEY = os.getenv("GOOGLE_API_KEY")
+model_google = "gemini/gemma-3-27b-it"
+def chat_gemini():
+    llm = ChatGoogleGenerativeAI("gemini/gemma-3-27b-it")"""
+
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+model_openai = "gpt-4o"  
+
+def crew_openai():
+    llm = ChatOpenAI(
+        model="gpt-4o-mini",
+        temperature=0,
+        api_key=OPENAI_API_KEY
+    )
+    return llm
+
+def chat_openai():
+    llm = ChatOpenAI(
+        model="gpt-4o",
+        temperature=0,
+        api_key=OPENAI_API_KEY
+    )
+    return llm