Upload 6 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* 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
+deepseek_cyfuture/index.faiss filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -25,6 +25,6 @@ COPY --chown=user . .
 # Make the start script executable
 RUN chmod +x start.sh
 # Expose FastAPI & Streamlit ports
-EXPOSE 7860 8501
+EXPOSE 7860 8000
 
 CMD ["./start.sh"]

app.py

@@ -94,6 +94,7 @@ def create_rag_chain(retriever):
 You are an AI questiona answering assistant specialized in answering user queries strictly from the provided context. Give detailed answer to user question considering the context.
 
 STRICT RULES:
+For generic user query like hi , hello, how are you, etc. respond with generic response like "Hello! How can I assist you today?"
 - You *must not* answer any questions outside the provided context.
 - If the question is unrelated to billing, payments, customer, or meter reading, respond with exactly:
   **"This question is outside my specialized domain."**
@@ -220,7 +221,7 @@ def read_root():
 if __name__ == "__main__":
     # start my fastapi app
     import uvicorn
-    uvicorn.run(app, host="127.0.0.1", port=7860)
+    uvicorn.run(app, host="127.0.0.1", port=8000)
     
 
     # questions=[ "Is the website accessible through mobile also? please tell the benefits of it","How do I register for a new connection?","how to make payments?",]

deepseek_cyfuture/index.faiss

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d6fcd5929682d1b0742495a57b13b337dc6f61e16b6a6c121125cd385963c28
+size 125997

deepseek_cyfuture/index.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d12e7c67bfd8614f8d86086c65c5fe4235288e2e8e9e3a081fb30369ce8ae1b9
+size 40637

start.sh

@@ -33,7 +33,7 @@ echo "Ollama is ready."
 echo "API is running on: http://0.0.0.0:7860"
 
 # Start FastAPI in the background
-uvicorn app:app --host 0.0.0.0 --port 7860 --workers 4 --limit-concurrency 20 &
+uvicorn app:app --host 0.0.0.0 --port 8000 --workers 4 --limit-concurrency 20 &
 
 # Start Streamlit for UI
-streamlit run streamlit_app.py --server.port 8501 --server.address 0.0.0.0
+streamlit run streamlit_app.py --server.port 7860 --server.address 0.0.0.0

streamlit_app.py

@@ -11,7 +11,7 @@ if "messages" not in st.session_state:
 
 # Function to query AI API and stream response
 def query_ai(question):
-    url = "http://127.0.0.1:7860/query/"
+    url = "http://127.0.0.1:8000/query/"
     params = {"input_text": question}
     
     with requests.get(url, params=params, stream=True) as response: