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| from __future__ import annotations | |
| import json | |
| import urllib.request | |
| import base64 | |
| import sys | |
| b64 = base64.b64encode(open(r"C:\Users\Ramakrishna\OneDrive\Desktop\pageparse\pageparse\image.png", "rb").read()).decode("utf-8") | |
| prompt = "Read all text in this image. Return ONLY the exact text you see, preserving all words, punctuation and line breaks. Do NOT add any explanation or commentary." | |
| payload = { | |
| "model": "llava:7b", | |
| "prompt": prompt, | |
| "images": [b64], | |
| "stream": False, | |
| "options": {"temperature": 0.0}, | |
| } | |
| data = json.dumps(payload).encode("utf-8") | |
| req = urllib.request.Request( | |
| "http://localhost:11434/api/generate", | |
| data=data, | |
| headers={"Content-Type": "application/json"}, | |
| ) | |
| sys.stderr.write("Sending request to llava:7b...\n") | |
| with urllib.request.urlopen(req, timeout=600) as resp: | |
| res = json.loads(resp.read().decode("utf-8")) | |
| sys.stderr.write("Done.\n") | |
| resp_text = res.get("response", "") | |
| print(resp_text) | |
| print(f"\n--- Stats: done={res.get('done_reason')}, eval_count={res.get('eval_count')}, duration_ns={res.get('total_duration')}", file=sys.stderr) | |