Remove gradio

Dockerfile

@@ -9,14 +9,11 @@ ENV PATH="/home/user/.local/bin:$PATH"
 WORKDIR /app
 
 # Copy all project files to the container then install modules
-COPY --chown=user . .
+COPY . .
 RUN pip install --no-cache-dir -r requirements.txt 
 
-# Load environment variables
-ENV ENV_PATH="/app/.env"
-
-# Ensure Python can find the app
-ENV PYTHONPATH=/app
+# EXPOSE 7860 (HF automatically maps it)
+EXPOSE 7860
 
 # Run server with uvicorn
 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,12 +1,10 @@
 ---
 title: Medical Chatbot
-emoji: ⚡
-colorFrom: purple
+emoji: 🤖🩺
+colorFrom: blue
 colorTo: purple
 sdk: docker
 pinned: false
 license: apache-2.0
-short_description: Backend API sender with FastAPI for Medical Chatbot service.
+short_description: Backend API sender with FastAPI for Medical Chatbot services.
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -298,8 +298,6 @@ async def chat_endpoint(data: dict):
 #     uvicorn.run(app, host="0.0.0.0", port=8000)
 
 # 3. On Hugging Face with Gradio (limited API request)
-import gradio as gr
 import uvicorn
-gr.mount_gradio_app(app, gr.Interface(fn=chatbot.chat, inputs=["text", "text"], outputs="text"), path="/gradio")
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

@@ -15,6 +15,6 @@ pymongo
 # **Deployment**
 uvicorn
 fastapi
-gradio              # On Huggingface deployment with gradio
+# gradio            # On Huggingface deployment with gradio or serving FastAPI only
 # streamlit         # On streamlit deployment with daemon
 # requests