fix: Unix LF for entrypoint.sh + Dockerfile sed CRLF guard

.gitattributes

@@ -1,37 +1,4 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Linux containers require LF in shell scripts (CRLF causes: env: 'bash\r': No such file)
+*.sh text eol=lf
 vendor/rllm/docs/assets/rllm_components.png filter=lfs diff=lfs merge=lfs -text
 vendor/rllm/docs/assets/sdk_arch.png filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -1,35 +1,36 @@
-# Hugging Face Space (Docker) — GenSearcher + FireRed
-# Requires GPU. For multi-GPU full-local mode, set START_VLLM_*=1 and CUDA device envs in README.
-
-FROM pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime
-
-ENV DEBIAN_FRONTEND=noninteractive
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    curl \
-    git \
-    && rm -rf /var/lib/apt/lists/*
-
-WORKDIR /app
-
-COPY vendor/rllm /app/vendor/rllm
-COPY requirements.txt /app/requirements.txt
-COPY app.py space_gen.py /app/
-COPY services /app/services
-COPY scripts /app/scripts
-
-ENV PYTHONPATH=/app/vendor/rllm
-ENV GRADIO_SERVER_PORT=7860
-
-RUN pip install --no-cache-dir --upgrade pip setuptools wheel \
-    && pip install --no-cache-dir -e /app/vendor/rllm \
-    && pip install --no-cache-dir -r /app/requirements.txt
-
-# Optional: local vLLM inside the image (large). Disable with build-arg if you only use external APIs.
-ARG INSTALL_VLLM=1
-RUN if [ "$INSTALL_VLLM" = "1" ]; then pip install --no-cache-dir "vllm>=0.6.3"; fi
-
-RUN chmod +x /app/scripts/entrypoint.sh
-
-EXPOSE 7860
-
-CMD ["/app/scripts/entrypoint.sh"]
+# Hugging Face Space (Docker) — GenSearcher + FireRed
+# Requires GPU. For multi-GPU full-local mode, set START_VLLM_*=1 and CUDA device envs in README.
+
+FROM pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime
+
+ENV DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    curl \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY vendor/rllm /app/vendor/rllm
+COPY requirements.txt /app/requirements.txt
+COPY app.py space_gen.py /app/
+COPY services /app/services
+COPY scripts /app/scripts
+
+ENV PYTHONPATH=/app/vendor/rllm
+ENV GRADIO_SERVER_PORT=7860
+
+RUN pip install --no-cache-dir --upgrade pip setuptools wheel \
+    && pip install --no-cache-dir -e /app/vendor/rllm \
+    && pip install --no-cache-dir -r /app/requirements.txt
+
+# Optional: local vLLM inside the image (large). Disable with build-arg if you only use external APIs.
+ARG INSTALL_VLLM=1
+RUN if [ "$INSTALL_VLLM" = "1" ]; then pip install --no-cache-dir "vllm>=0.6.3"; fi
+
+# Strip Windows CRLF if present (avoids: /usr/bin/env: 'bash\r': No such file or directory)
+RUN sed -i 's/\r$//' /app/scripts/entrypoint.sh && chmod +x /app/scripts/entrypoint.sh
+
+EXPOSE 7860
+
+CMD ["/app/scripts/entrypoint.sh"]

scripts/entrypoint.sh

@@ -1,77 +1,77 @@
-#!/usr/bin/env bash
-set -euo pipefail
-cd /app
-
-export PYTHONPATH="/app/vendor/rllm:${PYTHONPATH:-}"
-
-# Optional: load Space secrets copied to this path
-if [[ -f /app/.env.gen_image ]]; then
-  set -a
-  # shellcheck source=/dev/null
-  source /app/.env.gen_image
-  set +a
-fi
-
-wait_http() {
-  local url=$1
-  local name=$2
-  local max_attempts=${3:-90}
-  local i=0
-  echo "[entrypoint] Waiting for ${name} (${url})..."
-  until curl -sf "$url" >/dev/null 2>&1; do
-    i=$((i + 1))
-    if [[ $i -ge $max_attempts ]]; then
-      echo "[entrypoint] Timeout waiting for ${name}"
-      exit 1
-    fi
-    sleep 2
-  done
-  echo "[entrypoint] ${name} is up."
-}
-
-# Defaults: only FireRed + Gradio in-container. Point OPENAI_BASE_URL / BROWSE_SUMMARY_BASE_URL
-# to your vLLM (or other OpenAI-compatible) endpoints via Space secrets.
-
-# --- Optional local vLLM: GenSearcher-8B (OpenAI-compatible) ---
-if [[ "${START_VLLM_GENSEARCHER:-0}" == "1" ]]; then
-  CUDA_VISIBLE_DEVICES="${GENSEARCHER_CUDA_VISIBLE_DEVICES:-0}" \
-    vllm serve "${GENSEARCHER_MODEL_ID:-GenSearcher/Gen-Searcher-8B}" \
-    --host 0.0.0.0 \
-    --port 8002 \
-    --tensor-parallel-size "${GENSEARCHER_TP:-1}" \
-    --gpu-memory-utilization "${VLLM_GPU_MEMORY_UTIL:-0.85}" \
-    --served-model-name "${GEN_EVAL_MODEL:-Gen-Searcher-8B}" \
-    --max-model-len "${GENSEARCHER_MAX_MODEL_LEN:-65536}" \
-    --no-enable-prefix-caching &
-  wait_http "http://127.0.0.1:8002/v1/models" "GenSearcher vLLM"
-  export OPENAI_BASE_URL="${OPENAI_BASE_URL:-http://127.0.0.1:8002/v1}"
-fi
-
-# --- Optional local vLLM: browse summarization (Qwen3-VL) ---
-if [[ "${START_VLLM_BROWSE:-0}" == "1" ]]; then
-  export BROWSE_GENERATE_ENGINE=vllm
-  CUDA_VISIBLE_DEVICES="${BROWSE_CUDA_VISIBLE_DEVICES:-1}" \
-    vllm serve "${BROWSE_MODEL_ID:-Qwen/Qwen3-VL-30B-A3B-Instruct}" \
-    --host 0.0.0.0 \
-    --port 8003 \
-    --tensor-parallel-size "${BROWSE_TP:-1}" \
-    --gpu-memory-utilization "${VLLM_GPU_MEMORY_UTIL:-0.85}" \
-    --served-model-name "${BROWSE_SUMMARY_MODEL:-Qwen3-VL-30B-A3B-Instruct}" \
-    --max-model-len "${BROWSE_MAX_MODEL_LEN:-65536}" \
-    --mm-processor-cache-gb 0 \
-    --no-enable-prefix-caching &
-  wait_http "http://127.0.0.1:8003/v1/models" "Browse-summary vLLM"
-  export BROWSE_SUMMARY_BASE_URL="${BROWSE_SUMMARY_BASE_URL:-http://127.0.0.1:8003/v1}"
-fi
-
-# --- FireRed adapter (GenSearcher /generate contract) ---
-if [[ "${START_FIRERED_API:-1}" == "1" ]]; then
-  CUDA_VISIBLE_DEVICES="${FIRERED_CUDA_VISIBLE_DEVICES:-0}" \
-    python -m uvicorn services.firered_generate:app --host 0.0.0.0 --port 8765 &
-  wait_http "http://127.0.0.1:8765/health" "FireRed API" 120
-  export QWEN_EDIT_APP_URL="${QWEN_EDIT_APP_URL:-http://127.0.0.1:8765}"
-else
-  echo "[entrypoint] START_FIRERED_API=0 — use external QWEN_EDIT_APP_URL for generation."
-fi
-
-exec python app.py
+#!/usr/bin/env bash
+set -euo pipefail
+cd /app
+
+export PYTHONPATH="/app/vendor/rllm:${PYTHONPATH:-}"
+
+# Optional: load Space secrets copied to this path
+if [[ -f /app/.env.gen_image ]]; then
+  set -a
+  # shellcheck source=/dev/null
+  source /app/.env.gen_image
+  set +a
+fi
+
+wait_http() {
+  local url=$1
+  local name=$2
+  local max_attempts=${3:-90}
+  local i=0
+  echo "[entrypoint] Waiting for ${name} (${url})..."
+  until curl -sf "$url" >/dev/null 2>&1; do
+    i=$((i + 1))
+    if [[ $i -ge $max_attempts ]]; then
+      echo "[entrypoint] Timeout waiting for ${name}"
+      exit 1
+    fi
+    sleep 2
+  done
+  echo "[entrypoint] ${name} is up."
+}
+
+# Defaults: only FireRed + Gradio in-container. Point OPENAI_BASE_URL / BROWSE_SUMMARY_BASE_URL
+# to your vLLM (or other OpenAI-compatible) endpoints via Space secrets.
+
+# --- Optional local vLLM: GenSearcher-8B (OpenAI-compatible) ---
+if [[ "${START_VLLM_GENSEARCHER:-0}" == "1" ]]; then
+  CUDA_VISIBLE_DEVICES="${GENSEARCHER_CUDA_VISIBLE_DEVICES:-0}" \
+    vllm serve "${GENSEARCHER_MODEL_ID:-GenSearcher/Gen-Searcher-8B}" \
+    --host 0.0.0.0 \
+    --port 8002 \
+    --tensor-parallel-size "${GENSEARCHER_TP:-1}" \
+    --gpu-memory-utilization "${VLLM_GPU_MEMORY_UTIL:-0.85}" \
+    --served-model-name "${GEN_EVAL_MODEL:-Gen-Searcher-8B}" \
+    --max-model-len "${GENSEARCHER_MAX_MODEL_LEN:-65536}" \
+    --no-enable-prefix-caching &
+  wait_http "http://127.0.0.1:8002/v1/models" "GenSearcher vLLM"
+  export OPENAI_BASE_URL="${OPENAI_BASE_URL:-http://127.0.0.1:8002/v1}"
+fi
+
+# --- Optional local vLLM: browse summarization (Qwen3-VL) ---
+if [[ "${START_VLLM_BROWSE:-0}" == "1" ]]; then
+  export BROWSE_GENERATE_ENGINE=vllm
+  CUDA_VISIBLE_DEVICES="${BROWSE_CUDA_VISIBLE_DEVICES:-1}" \
+    vllm serve "${BROWSE_MODEL_ID:-Qwen/Qwen3-VL-30B-A3B-Instruct}" \
+    --host 0.0.0.0 \
+    --port 8003 \
+    --tensor-parallel-size "${BROWSE_TP:-1}" \
+    --gpu-memory-utilization "${VLLM_GPU_MEMORY_UTIL:-0.85}" \
+    --served-model-name "${BROWSE_SUMMARY_MODEL:-Qwen3-VL-30B-A3B-Instruct}" \
+    --max-model-len "${BROWSE_MAX_MODEL_LEN:-65536}" \
+    --mm-processor-cache-gb 0 \
+    --no-enable-prefix-caching &
+  wait_http "http://127.0.0.1:8003/v1/models" "Browse-summary vLLM"
+  export BROWSE_SUMMARY_BASE_URL="${BROWSE_SUMMARY_BASE_URL:-http://127.0.0.1:8003/v1}"
+fi
+
+# --- FireRed adapter (GenSearcher /generate contract) ---
+if [[ "${START_FIRERED_API:-1}" == "1" ]]; then
+  CUDA_VISIBLE_DEVICES="${FIRERED_CUDA_VISIBLE_DEVICES:-0}" \
+    python -m uvicorn services.firered_generate:app --host 0.0.0.0 --port 8765 &
+  wait_http "http://127.0.0.1:8765/health" "FireRed API" 120
+  export QWEN_EDIT_APP_URL="${QWEN_EDIT_APP_URL:-http://127.0.0.1:8765}"
+else
+  echo "[entrypoint] START_FIRERED_API=0 — use external QWEN_EDIT_APP_URL for generation."
+fi
+
+exec python app.py