Gemini updated

app.py

@@ -151,7 +151,7 @@ async def stream_response_gemini(query, history):
     start_time = time.time()
     first_token_logged = False
 
-    # Build the system instruction once
+    # 1) Build your system prompt once
     current_date = datetime.now().strftime("%Y-%m-%d")
     system_prompt = (
         "You are Tim Luka Horstmann, a Computer Scientist. "
@@ -162,31 +162,33 @@ async def stream_response_gemini(query, history):
         f"Today's date is {current_date}. CV: {full_cv_text}"
     )
 
-    # Build only the user/model history as contents
-    contents = [
-        *[
+    # 2) Build only user/model history as `contents`
+    contents = []
+    for msg in history:
+        contents.append(
             types.Content(
-                role=msg["role"],
-                parts=[types.Part.from_text(msg["content"])]
+                role=msg["role"], 
+                parts=[ types.Part.from_text(msg["content"]) ]
             )
-            for msg in history
-        ],
-        # Always append the current user query at the end
+        )
+    # finally append the new user question
+    contents.append(
         types.Content(
             role="user",
-            parts=[types.Part.from_text(query)]
+            parts=[ types.Part.from_text(query) ]
         )
-    ]
+    )
 
+    # 3) Call Gemini with `system_instruction`
     try:
         response = gemini_client.models.generate_content_stream(
             model=gemini_model,
             contents=contents,
             config=types.GenerateContentConfig(
                 system_instruction=system_prompt,
-                # temperature=0.3,
-                # top_p=0.7,
-                # max_output_tokens=512,
+                temperature=0.3,
+                top_p=0.7,
+                max_output_tokens=512,
                 response_mime_type="text/plain",
             )
         )
@@ -204,6 +206,7 @@ async def stream_response_gemini(query, history):
         yield f"data: Sorry, I encountered an error with Gemini API: {str(e)}\n\n"
         yield "data: [DONE]\n\n"
 
+        
 async def stream_response_local(query, history):
     """Stream response using local model"""
     logger.info(f"Processing query with local model: {query}")