- Introduction of dynamic Retrievers & Specialists

- Introduction of dynamic Processors
- Introduction of caching system
- Introduction of a better template manager
- Adaptation of ModelVariables to support dynamic Processors / Retrievers / Specialists
- Start adaptation of chat client

eveai_workers/processors/srt_processor.py

@@ -0,0 +1,32 @@
+from common.extensions import minio_client
+from .transcription_processor import TranscriptionBaseProcessor
+import re
+
+
+class SRTProcessor(TranscriptionBaseProcessor):
+    def _get_transcription(self):
+        file_data = minio_client.download_document_file(
+            self.tenant.id,
+            self.document_version.bucket_name,
+            self.document_version.object_name,
+        )
+        srt_content = file_data.decode('utf-8')
+        return self._clean_srt(srt_content)
+
+    def _clean_srt(self, srt_content):
+        # Remove timecodes and subtitle numbers
+        cleaned_lines = []
+        for line in srt_content.split('\n'):
+            # Skip empty lines, subtitle numbers, and timecodes
+            if line.strip() and not line.strip().isdigit() and not re.match(
+                    r'\d{2}:\d{2}:\d{2},\d{3} --> \d{2}:\d{2}:\d{2},\d{3}', line):
+                cleaned_lines.append(line.strip())
+
+        # Join the cleaned lines
+        cleaned_text = ' '.join(cleaned_lines)
+
+        # Remove any extra spaces
+        cleaned_text = re.sub(r'\s+', ' ', cleaned_text).strip()
+
+        return cleaned_text
+