feat(genai): Update http flag for TextGeneration samples.

Author: msampathkumar

genai/text_generation/requirements.txt

@@ -1 +1,2 @@
-google-genai==0.7.0
+# google-genai==0.7.0
+git+https://github.com/googleapis/python-genai.git

genai/text_generation/textgen_chat_with_txt.py

@@ -18,7 +18,7 @@ def generate_content() -> str:
     from google import genai
     from google.genai.types import Content, Part
 
-    client = genai.Client()
+    client = genai.Client(http_options={'api_version': 'v1'})
     chat = client.chats.create(
         model="gemini-2.0-flash-001",
         history=[

genai/text_generation/textgen_chat_with_txt_stream.py

@@ -17,7 +17,7 @@ def generate_content() -> str:
     # [START googlegenaisdk_textgen_chat_with_txt_stream]
     from google import genai
 
-    client = genai.Client()
+    client = genai.Client(http_options={'api_version': 'v1'})
     chat = client.chats.create(model="gemini-2.0-flash-001")
     response_text = ""
 

genai/text_generation/textgen_config_with_txt.py

@@ -18,7 +18,7 @@ def generate_content() -> str:
     from google import genai
     from google.genai import types
 
-    client = genai.Client()
+    client = genai.Client(http_options={'api_version': 'v1'})
     response = client.models.generate_content(
         model="gemini-2.0-flash-001",
         contents="Why is the sky blue?",

genai/text_generation/textgen_sys_instr_with_txt.py

@@ -18,7 +18,7 @@ def generate_content() -> str:
     from google import genai
     from google.genai import types
 
-    client = genai.Client()
+    client = genai.Client(http_options={'api_version': 'v1'})
     response = client.models.generate_content(
         model="gemini-2.0-flash-001",
         contents="Why is the sky blue?",

genai/text_generation/textgen_transcript_with_gcs_audio.py

@@ -18,8 +18,7 @@ def generate_content() -> str:
     from google import genai
     from google.genai.types import Part
 
-    client = genai.Client()
-
+    client = genai.Client(http_options={'api_version': 'v1'})
     prompt = """
     Transcribe the interview, in the format of timecode, speaker, caption.
     Use speaker A, speaker B, etc. to identify speakers.

genai/text_generation/textgen_with_gcs_audio.py

@@ -18,8 +18,7 @@ def generate_content() -> str:
     from google import genai
     from google.genai.types import Part
 
-    client = genai.Client()
-
+    client = genai.Client(http_options={'api_version': 'v1'})
     prompt = """
     Provide the summary of the audio file.
     Summarize the main points of the audio concisely.

genai/text_generation/textgen_with_multi_img.py

@@ -18,7 +18,7 @@ def generate_content() -> str:
     from google import genai
     from google.genai.types import Part
 
-    client = genai.Client()
+    client = genai.Client(http_options={'api_version': 'v1'})
     response = client.models.generate_content(
         model="gemini-2.0-flash-001",
         contents=[

genai/text_generation/textgen_with_multi_local_img.py

@@ -18,8 +18,7 @@ def generate_content(image_path_1: str, image_path_2: str) -> str:
     from google import genai
     from google.genai.types import Part
 
-    client = genai.Client()
-
+    client = genai.Client(http_options={'api_version': 'v1'})
     # TODO(Developer): Update the below file paths to your images
     # image_path_1 = "path/to/your/image1.jpg"
     # image_path_2 = "path/to/your/image2.jpg"

genai/text_generation/textgen_with_mute_video.py

@@ -18,8 +18,7 @@ def generate_content() -> str:
     from google import genai
     from google.genai.types import Part
 
-    client = genai.Client()
-
+    client = genai.Client(http_options={'api_version': 'v1'})
     response = client.models.generate_content(
         model="gemini-2.0-flash-001",
         contents=[