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predict.py
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| import os | |
| import requests | |
| from time import sleep | |
| import logging | |
| import argparse | |
| import sys | |
| endpoint_id = os.environ["RUNPOD_ENDPOINT_ID"] | |
| URI = f"https://api.runpod.ai/v2/{endpoint_id}/run" | |
| def run(prompt, stream=False): | |
| request = { | |
| 'prompt': prompt, | |
| 'max_new_tokens': 1800, | |
| 'temperature': 0.3, | |
| 'top_k': 50, | |
| 'top_p': 0.7, | |
| 'repetition_penalty': 1.2, | |
| 'batch_size': 8, | |
| 'stream': stream | |
| } | |
| response = requests.post(URI, json=dict(input=request), headers = { | |
| "Authorization": f"Bearer {os.environ['RUNPOD_AI_API_KEY']}" | |
| }) | |
| if response.status_code == 200: | |
| data = response.json() | |
| task_id = data.get('id') | |
| return stream_output(task_id, stream=stream) | |
| def stream_output(task_id, stream=False): | |
| try: | |
| url = f"https://api.runpod.ai/v2/{endpoint_id}/stream/{task_id}" | |
| headers = { | |
| "Authorization": f"Bearer {os.environ['RUNPOD_AI_API_KEY']}" | |
| } | |
| previous_output = '' | |
| while True: | |
| response = requests.get(url, headers=headers) | |
| if response.status_code == 200: | |
| data = response.json() | |
| if stream: | |
| if len(data['stream']) > 0: | |
| new_output = data['stream'][0]['output'] | |
| sys.stdout.write(new_output[len(previous_output):]) | |
| sys.stdout.flush() | |
| previous_output = new_output | |
| elif len(data['stream']) > 0: | |
| return data['stream'][0]['output'] | |
| if data.get('status') == 'COMPLETED': | |
| break | |
| elif response.status_code >= 400: | |
| logging.error(response.json()) | |
| # Sleep for 0.1 seconds between each request | |
| sleep(0.1 if stream else 0.5) | |
| except Exception as e: | |
| print(e) | |
| cancel_task(task_id) | |
| def cancel_task(task_id): | |
| url = f"https://api.runpod.ai/v2/{endpoint_id}/cancel/{task_id}" | |
| headers = { | |
| "Authorization": f"Bearer {os.environ['RUNPOD_AI_API_KEY']}" | |
| } | |
| response = requests.get(url, headers=headers) | |
| return response | |
| if __name__ == '__main__': | |
| parser = argparse.ArgumentParser(description='Runpod AI CLI') | |
| parser.add_argument('-s', '--stream', action='store_true', help='Stream output') | |
| prompt = """Given the following clinical notes, what tests, diagnoses, and recommendations should the I give? Provide your answer as a detailed report with labeled sections "Diagnostic Tests", "Possible Diagnoses", and "Patient Recommendations". | |
| 17-year-old male, has come to the student health clinic complaining of heart pounding. Mr. Cleveland's mother has given verbal consent for a history, physical examination, and treatment | |
| -began 2-3 months ago,sudden,intermittent for 2 days(lasting 3-4 min),worsening,non-allev/aggrav | |
| -associated with dispnea on exersion and rest,stressed out about school | |
| -reports fe feels like his heart is jumping out of his chest | |
| -ros:denies chest pain,dyaphoresis,wt loss,chills,fever,nausea,vomiting,pedal edeam | |
| -pmh:non,meds :aderol (from a friend),nkda | |
| -fh:father had MI recently,mother has thyroid dz | |
| -sh:non-smoker,mariguana 5-6 months ago,3 beers on the weekend, basketball at school | |
| -sh:no std,no other significant medical conditions.""" | |
| print(run(prompt, stream=parser.parse_args().stream)) |
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