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Dockerfile

@@ -3,7 +3,7 @@
 # (Docker deploy), Fly.io, Cloud Run, or any other platform that runs a
 # standard Docker image. Nothing here is tied to one specific host.
 # Configuration comes entirely from environment variables set by
-# whichever platform runs it (PORT, DATABASE_URL, ANTHROPIC_API_KEY,
+# whichever platform runs it (PORT, DATABASE_URL, OPENAI_API_KEY,
 # SECRET_KEY, ENVIRONMENT).
 
 FROM python:3.11-slim

README.md

@@ -19,5 +19,5 @@ This Space runs the full application: speech-to-text, translation,
 symptom summarization, and text-to-speech, in the patient's own
 language.
 
-Requires GEMINI_API_KEY, SECRET_KEY, and DATABASE_URL to be set as
+Requires OPENAI_API_KEY, SECRET_KEY, and DATABASE_URL to be set as
 secrets in this Space's settings.

nlu.py

@@ -9,7 +9,7 @@ explicit that the system does not provide formal medical diagnosis, so
 this module only summarizes what the patient is communicating, it never
 suggests a diagnosis or treatment.
 
-Uses the Gemini API (Google), same as translation.py.
+Uses the OpenAI API, same as translation.py.
 
 MOCK_MODE: if set to "true" in the env file, this uses simple keyword
 matching instead of a real API call, so the rest of the app can be tested
@@ -24,10 +24,10 @@ load_dotenv("env")
 MOCK_MODE = os.environ.get("MOCK_MODE", "").lower() == "true"
 
 if not MOCK_MODE:
-    from google import genai as _genai
-    _client = _genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+    from openai import OpenAI
+    _client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
 
-MODEL = "gemini-2.0-flash"
+MODEL = "gpt-5.6-terra"
 
 _MOCK_KEYWORDS = ["headache", "fever", "stomach", "cough", "dizzy", "pain", "vomit", "rash"]
 
@@ -53,8 +53,11 @@ def interpret_query(english_text):
         f"Message: {english_text}"
     )
 
-    response = _client.models.generate_content(model=MODEL, contents=prompt)
-    return response.text.strip()
+    response = _client.chat.completions.create(
+        model=MODEL,
+        messages=[{"role": "user", "content": prompt}],
+    )
+    return response.choices[0].message.content.strip()
 
 
 if __name__ == "__main__":

requirements.txt

@@ -1,6 +1,6 @@
 flask==3.1.3
 python-dotenv==1.2.2
-google-genai==2.15.0
+openai==2.50.0
 openai-whisper==20250625
 transformers==5.14.1
 torch==2.5.0

translation.py

@@ -3,7 +3,7 @@ Translation for TalkToDoc.
 Translates patient input into English for the provider, and translates the
 provider's reply back into the patient's selected language.
 
-Uses the Gemini API (Google), via the google-genai SDK.
+Uses the OpenAI API, via the official openai SDK.
 
 MOCK_MODE: if set to "true" in the env file, this skips the real API call
 entirely and returns the input text unchanged instead. This exists so
@@ -21,11 +21,11 @@ load_dotenv("env")
 MOCK_MODE = os.environ.get("MOCK_MODE", "").lower() == "true"
 
 if not MOCK_MODE:
-    from google import genai as _genai
-    _client = _genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+    from openai import OpenAI
+    _client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
 
 SUPPORTED_LANGUAGES = ["english", "yoruba", "hausa", "igbo", "pidgin"]
-MODEL = "gemini-2.0-flash"
+MODEL = "gpt-5.6-terra"
 
 
 def translate(text, source_language, target_language):
@@ -46,8 +46,11 @@ def translate(text, source_language, target_language):
         f"Text: {text}"
     )
 
-    response = _client.models.generate_content(model=MODEL, contents=prompt)
-    return response.text.strip()
+    response = _client.chat.completions.create(
+        model=MODEL,
+        messages=[{"role": "user", "content": prompt}],
+    )
+    return response.choices[0].message.content.strip()
 
 
 if __name__ == "__main__":