Test: minimal FastAPI server to verify Spaces build pipeline

Dockerfile

@@ -6,32 +6,19 @@ WORKDIR /code
 
 # Set environment variables
 ENV PORT=7860
-ENV PYTHONPATH=/code
-ENV TRANSFORMERS_CACHE=/code/.cache/transformers
-
-# Install system dependencies
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends \
-    build-essential \
-    git \
-    && rm -rf /var/lib/apt/lists/*
 
 # Copy requirements first for better caching
 COPY requirements.txt .
 
-# Add torch back to requirements and install everything together
+# Install only essential packages for now
 RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir torch==2.1.0 transformers==4.46.3 && \
-    pip install --no-cache-dir -r requirements.txt
+    pip install --no-cache-dir fastapi uvicorn pydantic python-multipart pillow
 
 # Copy the rest of the application
 COPY . .
 
-# Create cache directory for transformers
-RUN mkdir -p /code/.cache/transformers
-
 # Make port 7860 available
 EXPOSE 7860
 
 # Run the FastAPI server
-CMD ["bash", "-c", "uvicorn server:app --host 0.0.0.0 --port ${PORT} --workers 1"]
+CMD ["uvicorn", "server_minimal:app", "--host", "0.0.0.0", "--port", "7860"]

server_minimal.py

@@ -0,0 +1,72 @@
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
+from pydantic import BaseModel
+import os
+
+# =====================================================
+# FastAPI App Setup
+# =====================================================
+app = FastAPI(title="AI Chat + Summarization + Vision API")
+
+# =====================================================
+# API Schemas
+# =====================================================
+class ChatRequest(BaseModel):
+    message: str
+    max_new_tokens: int = 80
+    temperature: float = 0.7
+
+class SummaryRequest(BaseModel):
+    text: str
+    max_length: int = 100
+    min_length: int = 25
+
+# =====================================================
+# Endpoints (Stubbed for Testing)
+# =====================================================
+@app.post("/api/chat")
+def chat_generate(req: ChatRequest):
+    return {
+        "success": True, 
+        "response": f"This is a test response to: {req.message}",
+        "tokens": [
+            {"token": "This", "alternatives": [{"token": "That", "probability": 0.3}]},
+            {"token": " is", "alternatives": [{"token": " was", "probability": 0.2}]},
+            {"token": " a", "alternatives": [{"token": " the", "probability": 0.4}]}
+        ]
+    }
+
+@app.post("/api/summarize")
+def summarize_text(req: SummaryRequest):
+    return {
+        "success": True, 
+        "summary": f"Summary: {req.text[:100]}..."
+    }
+
+@app.post("/predict_words")
+def predict_words(req: dict):
+    return [
+        {"word": "test", "probability": 0.8},
+        {"word": "demo", "probability": 0.1},
+        {"word": "example", "probability": 0.1}
+    ]
+
+@app.get("/api/health")
+def health_check():
+    return {
+        "status": "healthy", 
+        "models": ["stub-models-for-testing"]
+    }
+
+# =====================================================
+# Static Files
+# =====================================================
+if os.path.exists("static"):
+    app.mount("/static", StaticFiles(directory="static"), name="static")
+
+@app.get("/")
+def read_root():
+    if os.path.exists("static/index.html"):
+        return FileResponse("static/index.html")
+    return {"message": "Minimal AI Chat API running!"}