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| author | Pjotr Prins | 2026-03-29 09:14:53 +0200 |
|---|---|---|
| committer | Pjotr Prins | 2026-03-29 09:14:53 +0200 |
| commit | bb04a7849324ea8c58452632ffa01711dd3ce9b5 (patch) | |
| tree | c67c9c00a2cb6d2bd7564f6b4bb0543c115f2660 /server.py | |
| parent | 4cf5a89846c70b5ed3acb35da76971df1e5e47f7 (diff) | |
| download | genecup-bb04a7849324ea8c58452632ffa01711dd3ce9b5.tar.gz | |
All three Gemini API calls now print the response to the console
Diffstat (limited to 'server.py')
| -rwxr-xr-x | server.py | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/server.py b/server.py index 6db682a..06f109b 100755 --- a/server.py +++ b/server.py @@ -158,6 +158,7 @@ def classify_stress_with_gemini(sentence_text): model='gemini-2.5-pro', contents=prompt_text ) + print(f" Gemini response: {response.text.strip()}") # We need to parse the classification from the response classification = response.text.strip().lower() @@ -194,6 +195,7 @@ Classification:""" model='gemini-2.5-pro', contents=prompt ) + print(f" Gemini response: {response.text.strip()}") classification = response.text.strip().lower() if classification == "systemic": @@ -1621,6 +1623,7 @@ Here are the sentences to classify: model='gemini-3-flash-preview', contents=batched_prompt ) + print(f" Gemini response: {response.text.strip()}") # Step 3: Parse the JSON response # The model might wrap the JSON in ```json ... ```, so we need to clean it. |
