Update app.py

app.py

@@ -81,22 +81,25 @@ class TogetherEmbeddings(Embeddings):
 @st.cache_resource
 def get_pdf_index():
     with st.spinner('📄 در حال پردازش فایل PDF...'):
-        loader = [PyPDFLoader('test1.pdf')]
-        embeddings = TogetherEmbeddings(
-            model_name="togethercomputer/m2-bert-80M-8k-retrieval",
-            api_key="0291f33aee03412a47fa5d8e562e515182dcc5d9aac5a7fb5eefdd1759005979"
+        loader = PyPDFLoader('test1.pdf')
+        documents = loader.load()
+
+        text_splitter = RecursiveCharacterTextSplitter(chunk_size=300, chunk_overlap=0)
+        texts = text_splitter.split_documents(documents)
+
+        embeddings = HuggingFaceEmbeddings(
+            model_name="sentence-transformers/all-MiniLM-L6-v2"  
         )
-        return VectorstoreIndexCreator(
-            embedding=embeddings,
-            text_splitter=RecursiveCharacterTextSplitter(chunk_size=300, chunk_overlap=0)
-        ).from_loaders(loader)
+
+        index = FAISS.from_documents(texts, embeddings)
+        return index
 
 index = get_pdf_index()
 
-llm = ChatOpenAI(
-    base_url="https://api.together.xyz/v1",
-    api_key='0291f33aee03412a47fa5d8e562e515182dcc5d9aac5a7fb5eefdd1759005979',
-    model="meta-llama/Llama-3.3-70B-Instruct-Turbo-Free"
+llm = HuggingFaceHub(
+    repo_id="HuggingFaceH4/zephyr-7b-alpha",  # یا مدل دلخواهت مثل llama یا mistral
+    model_kwargs={"temperature": 0.7, "max_new_tokens": 512},
+    huggingfacehub_api_token="توکن شما"
 )
 
 chain = RetrievalQA.from_chain_type(