fix: added haystack-ai-integrations in requirements

Dockerfile

@@ -1,25 +1,21 @@
-FROM python:3.11
+FROM python:3.11-slim  
 
-# Install system dependencies
 RUN apt-get update && \
     apt-get install -y \
     tesseract-ocr libtesseract-dev poppler-utils \
+    tesseract-ocr-eng tesseract-ocr-fra \
     build-essential pkg-config libgl1 && \
+    apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
 WORKDIR /app
 
-# Install PyTorch CPU first
-RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu
-
-# Install project dependencies
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy app code
 COPY . .
 
-ENV PYTHONUNBUFFERED=1
+ENV PYTHONUNBUFFERED=1 \
+    PORT=8000 
 
-# Render gives $PORT env, don’t hardcode
-CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port ${PORT}"]
+CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port ${PORT}"]

pipelines.py

@@ -5,9 +5,9 @@ from haystack.dataclasses import Document
 from haystack.document_stores.in_memory import InMemoryDocumentStore
 from haystack.components.embedders import SentenceTransformersDocumentEmbedder, SentenceTransformersTextEmbedder
 from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever
-# from haystack.components.rankers import SentenceTransformersSimilarityRanker
-from haystack_integrations.components.rankers.sentence_transformers import SentenceTransformersRanker
-from haystack_integrations.components.generators.google_ai import GoogleAIGeminiGenerator
+from haystack.components.rankers import SentenceTransformersSimilarityRanker
+# from haystack_integrations.components.generators.google_ai import GoogleAIGeminiGenerator
+from haystack_google_generative_ai.generators import GoogleAIGeminiGenerator
 from haystack.components.preprocessors import DocumentSplitter
 
 # Set up logging
@@ -19,8 +19,7 @@ document_store = InMemoryDocumentStore()
 doc_embedder = SentenceTransformersDocumentEmbedder(model="BAAI/bge-large-en-v1.5")
 text_embedder = SentenceTransformersTextEmbedder(model="BAAI/bge-large-en-v1.5")
 retriever = InMemoryEmbeddingRetriever(document_store=document_store, top_k=5)
-# reranker = SentenceTransformersSimilarityRanker(model="cross-encoder/ms-marco-MiniLM-L-6-v2")
-ranker = SentenceTransformersRanker(model="sentence-transformers/all-MiniLM-L6-v2")
+reranker = SentenceTransformersSimilarityRanker(model="cross-encoder/ms-marco-MiniLM-L-6-v2")
 
 # Initialize generator
 generator = GoogleAIGeminiGenerator(

requirements.txt

@@ -5,12 +5,15 @@ python-multipart==0.0.9
 pillow==10.3.0
 pdfplumber==0.11.0
 pytesseract==0.3.10
-
-# Sentence Transformers (explicit, though Haystack pulls it too)
 sentence-transformers==3.0.1
 
-# Haystack v2 core + integrations (sentence-transformers + google-ai)
-haystack-ai[sentence-transformers,google]==2.1.0
+# Google Generative AI
+google-generativeai==0.7.2
+
+# Haystack v2 core + integrations
+haystack-ai==2.1.0
+haystack-google-generative-ai  # Required for Gemini integration
+google-generativeai==0.7.2     # Ensure compatibility
 
 # gRPC (needed by Google / Haystack)
 grpcio