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Dockerfile

@@ -1,20 +1,16 @@
-FROM python:3.13.5-slim
+# Use a minimal base image with Python 3.9 installed
+FROM python:3.9-slim
 
+# Set the working directory inside the container to /app
 WORKDIR /app
 
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    git \
-    && rm -rf /var/lib/apt/lists/*
-
-COPY requirements.txt ./
-COPY src/ ./src/
+# Copy all files from the current directory on the host to the container's /app directory
+COPY . .
 
+# Install Python dependencies listed in requirements.txt
 RUN pip3 install -r requirements.txt
 
-EXPOSE 8501
-
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+# Define the command to run the Streamlit app on port 8501 and make it accessible externally
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false"]
 
-ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+# NOTE: Disable XSRF protection for easier external access in order to make batch predictions

app.py

@@ -0,0 +1,37 @@
+
+import streamlit as st
+import requests
+import pandas as pd
+
+# Backend URL (if deployed together on Hugging Face, use relative URL)
+BACKEND_URL = "https://gauravsahu1990-Chabot_Backend.hf.space/api/ask"  # Change to your Space/EC2 endpoint if remote
+
+st.set_page_config(page_title="ChatSQL Assistant", page_icon="🧠", layout="wide")
+
+st.title("🧠 ChatSQL Assistant")
+st.write("Ask your question about the database — I’ll show the result and chart!")
+
+# User input
+question = st.text_input("💬 Ask your question:", placeholder="e.g., Show total order amount by customer")
+
+if st.button("Ask"):
+    if not question.strip():
+        st.warning("Please enter a question.")
+    else:
+        with st.spinner("Thinking..."):
+            try:
+                response = requests.post(BACKEND_URL, json={"question": question})
+                data = response.json()
+
+                st.markdown("### 📊 Result")
+                st.markdown(data.get("answer", ""), unsafe_allow_html=True)
+
+                if data.get("chart"):
+                    st.markdown("### 📈 Visualization")
+                    img_bytes = base64.b64decode(data["chart"])
+                    st.image(img_bytes, use_container_width=True)
+                else:
+                    st.info("No chart available for this query.")
+
+            except Exception as e:
+                st.error(f"⚠️ Error: {e}")

frontend.py

@@ -0,0 +1,37 @@
+
+import streamlit as st
+import requests
+import pandas as pd
+
+# Backend URL (if deployed together on Hugging Face, use relative URL)
+BACKEND_URL = "https://gauravsahu1990-Chabot_Backend.hf.space/api/ask"  # Change to your Space/EC2 endpoint if remote
+
+st.set_page_config(page_title="ChatSQL Assistant", page_icon="🧠", layout="wide")
+
+st.title("🧠 ChatSQL Assistant")
+st.write("Ask your question about the database — I’ll show the result and chart!")
+
+# User input
+question = st.text_input("💬 Ask your question:", placeholder="e.g., Show total order amount by customer")
+
+if st.button("Ask"):
+    if not question.strip():
+        st.warning("Please enter a question.")
+    else:
+        with st.spinner("Thinking..."):
+            try:
+                response = requests.post(BACKEND_URL, json={"question": question})
+                data = response.json()
+
+                st.markdown("### 📊 Result")
+                st.markdown(data.get("answer", ""), unsafe_allow_html=True)
+
+                if data.get("chart"):
+                    st.markdown("### 📈 Visualization")
+                    img_bytes = base64.b64decode(data["chart"])
+                    st.image(img_bytes, use_container_width=True)
+                else:
+                    st.info("No chart available for this query.")
+
+            except Exception as e:
+                st.error(f"⚠️ Error: {e}")

requirements.txt

@@ -1,3 +1,3 @@
-altair
-pandas
-streamlit
+pandas==2.2.2
+requests==2.28.1
+streamlit==1.43.2