write dockerfile

.dockerignore

@@ -0,0 +1,2 @@
+./qavanin-faiss
+./llm-answer

.gitignore

@@ -0,0 +1,3 @@
+__pycache__/
+qavanin-faiss/faiss_index_qavanin_285k_metadata.json
+qavanin-faiss/faiss_index_qavanin_285k.index

chatbot.py

@@ -28,8 +28,8 @@ chatbot = FastAPI()
 # -------------------
 # مدل‌ها و مسیر داده
 # -------------------
-EMBED_MODEL = "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"
+EMBED_MODEL = "/home/sabr/MODLES/rag_chat/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"
-RERANKER_MODEL = "BAAI/bge-reranker-v2-m3"
+RERANKER_MODEL = "/home/sabr/MODLES/rag_chat/BAAI/bge-reranker-v2-m3"
 FAISS_INDEX_PATH = "./qavanin-faiss/faiss_index_qavanin_285k.index"
 FAISS_METADATA_PATH = "./qavanin-faiss/faiss_index_qavanin_285k_metadata.json"
 
@@ -393,13 +393,13 @@ def run_chatbot(query:str, chat_id:str):
         'used-refrences-in-answer' : used_refrences_in_answer, # list[str]
         'llm-answer' : llm_answer, # str
     }
-    prev_chat_data = []    
+    # prev_chat_data = []    
-    with open('./llm-answer/chat-messages.json', mode='r', encoding='utf-8') as file:
+    # with open('./llm-answer/chat-messages.json', mode='r', encoding='utf-8') as file:
-            prev_chat_data = json.load(file)
+    #         prev_chat_data = json.load(file)
-            prev_chat_data.append(chat_obj)
+    #         prev_chat_data.append(chat_obj)
                 
-    with open('./llm-answer/chat-messages.json', mode='w', encoding='utf-8') as output:
+    # with open('./llm-answer/chat-messages.json', mode='w', encoding='utf-8') as output:
-        json.dump(prev_chat_data, output, ensure_ascii=False, indent=2)
+    #     json.dump(prev_chat_data, output, ensure_ascii=False, indent=2)
     
     return chat_obj
 
@@ -414,7 +414,7 @@ def credit_refresh():
     
     with open('./llm-answer/credit.txt','w') as file:
         file.write(str(remained_credit.json()['remaining_irt']))
-        
+    return str(remained_credit.json()['remaining_irt'])
 # تعریف مدل داده‌ها برای درخواست‌های API
 class Query(BaseModel):
     query: str

dockerfile

@@ -0,0 +1,27 @@
+FROM python:3.10.12
+
+RUN pip install cleantext==1.1.4
+RUN pip install elasticsearch7==7.17.12
+RUN pip install faiss_cpu==1.9.0
+RUN pip install fastapi==0.117.1
+RUN pip install hazm==0.10.0
+RUN pip install langchain_openai==0.3.33
+RUN pip install numpy==1.21.5
+RUN pip install openai==1.108.1
+RUN pip install pandas==2.3.2
+RUN pip install pydantic==2.11.9
+RUN pip install scikit_learn==1.7.2
+RUN pip install sentence_transformers==2.5.1
+RUN pip install torch==2.4.0
+RUN pip install transformers==4.55.1
+#RUN pip install torch==2.1.2
+
+
+WORKDIR /src/app 
+
+COPY . /src/app
+
+EXPOSE 80
+
+CMD [ "uvicorn","chatbot:chatbot","--reload","--port","80" ]
+